David Lo - RankMe

952 papers A* 103A 155B 23C 14Misc 4Journal 506Unranked 133

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	$AiRacleX$: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation. IEEE Trans. Serv. Comput. Bo Gao, Yuan Wang, Qingsong Wei, Yong Liu, Rick Siow Mong Goh, David Lo
2026	J	`jnl`	A Systematic Literature Review on Explainability for ML/DL-based Software Engineering. ACM Comput. Surv. Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen
2026	J	`jnl`	Automated TEE Adaptation With LLMs: Identifying, Transforming, and Porting Sensitive Functions in Programs. IEEE Trans. Software Eng. Ruidong Han, Zhou Yang, Chengyan Ma, Ye Liu, Yuqing Niu, Siqi Ma, Debin Gao, David Lo
2026	J	`jnl`	Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation. CoRR Chengran Yang, Zichao Wei, Heminghao Deng, Jinfeng Jiang, Zhensu Sun, Ting Zhang, Tianyi Wu, Ming Wen, David Lo
2026	J	`jnl`	Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection. CoRR Yikun Li, Ting Zhang, Jieke Shi, Chengran Yang, Junda He, Xin Zhou, Jinfeng Jiang, Huihui Huang, Wen Bin Leow, Yide Yin, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2026	J	`jnl`	CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding. CoRR Yuling Shi, Chaoxiang Xie, Zhensu Sun, Yeheng Chen, Chenxu Zhang, Longfei Yun, Chengcheng Wan, Hongyu Zhang, David Lo, Xiaodong Gu
2026	J	`jnl`	Compiling Code LLMs into Lightweight Executables. CoRR Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, David Lo
2026	J	`jnl`	CovAgent: Overcoming the 30% Curse of Mobile Application Coverage with Agentic AI and Dynamic Instrumentation. CoRR Wei Minn, Biniam Fisseha Demissie, Yan Naing Tun, Jiakun Liu, Mariano Ceccato, Lwin Khin Shar, David Lo
2026	J	`jnl`	Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild. CoRR Yue Liu, Ratnadira Widyasari, Yanjie Zhao, Ivana Clairine Irsan, David Lo
2026	J	`jnl`	Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss. ACM Trans. Softw. Eng. Methodol. Guang Yang, Yu Zhou, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, David Lo, Taolue Chen
2026	J	`jnl`	ESG Reporting Lifecycle Management with Large Language Models and AI Agents. CoRR Thong Hoang, Mykhailo V. Klymenko, Xiwei Xu, Shidong Pan, Yi Ding, Xushuo Tang, Zhengyi Yang, Jieke Shi, David Lo
2026	J	`jnl`	Ecosystem of Large Language Models for Code. ACM Trans. Softw. Eng. Methodol. Zhou Yang, Jieke Shi, Premkumar T. Devanbu, David Lo
2026	J	`jnl`	Finding Memory Leaks in C/C++ Programs via Neuro-Symbolic Augmented Static Analysis. CoRR Huihui Huang, Jieke Shi, Bo Wang, Zhou Yang, David Lo
2026	J	`jnl`	Func: reducing the impact of Android framework evolution on malware detection. Empir. Softw. Eng. Hailong Yu, Tiantian Wang, Lwin Khin Shar, Hanmeng Li, David Lo
2026	J	`jnl`	Future of Software Engineering Research: The SIGSOFT Perspective. CoRR Massimiliano Di Penta, Kelly Blincoe, Marsha Chechik, Claire Le Goues, David Lo, Emerson R. Murphy-Hill, Thomas Zimmermann
2026	J	`jnl`	Identifying Good and Bad Neurons for Task-Level Controllable LLMs. CoRR Wenjie Li, Guansong Pang, Hezhe Qiao, Debin Gao, David Lo
2026	J	`jnl`	Identifying and Mitigating API Misuse in Large Language Models. IEEE Trans. Software Eng. Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John C. Grundy, Xiaoning Du
2026	J	`jnl`	LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis. CoRR Gou Tan, Zilong He, Min Li, Pengfei Chen, Jieke Shi, Zhensu Sun, Ting Zhang, Danwen Chen, Lwin Khin Shar, Chuanfu Zhang, David Lo
2026	J	`jnl`	Less Is More: DocString Compression in Code Generation. ACM Trans. Softw. Eng. Methodol. Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Ke Liu, Xin Zhou, David Lo, Taolue Chen
2026	J	`jnl`	Mutants Will Tell: Statistical Mutation-Based Multiple Fault Localization for Deep Learning Programs. IEEE Trans. Software Eng. Huan Xie, Zhengxiong Deng, Yan Lei, Maojin Li, Meng Yan, David Lo
2026	J	`jnl`	PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing. CoRR Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2026	J	`jnl`	Prompt engineering in LLMs for automated unit test generation: A large-scale study. Empir. Softw. Eng. Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Yinghua Li, Haoye Tian, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2026	J	`jnl`	Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents. CoRR Zhi Chen, Zhensu Sun, Yuling Shi, Chao Peng, Xiaodong Gu, David Lo, Lingxiao Jiang
2026	J	`jnl`	Revisiting Vulnerability Patch Identification on Data in the Wild. CoRR Ivana Clairine Irsan, Ratnadira Widyasari, Ting Zhang, Huihui Huang, Ferdian Thung, Yikun Li, Lwin Khin Shar, Eng Lieh Ouh, Hong Jin Kang, David Lo
2026	J	`jnl`	Steer Your Model: Secure Code Generation With Contrastive Decoding. IEEE Trans. Software Eng. Li Huang, Meng Yan, Tao Yin, Weifeng Sun, Zhongxin Liu, Hongyu Zhang, David Lo
2026	J	`jnl`	Survey on Learning-based Dynamic Fault Localization: From Traditional Machine Learning to Large Language Models. ACM Comput. Surv. Chunyan Liu, Yan Lei, Huan Xie, Jinping Wang, Yue Yu, David Lo
2026	J	`jnl`	Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. AI Ethics Zichong Wang, Zhou Yang, David Lo, Wenbin Zhang
2026	J	`jnl`	Towards On-the-Fly Code Performance Profiling. ACM Trans. Softw. Eng. Methodol. Xing Hu, Weixin Lin, Zhuang Liu, Michael Ling, Xin Xia, Yuan Wang, David Lo
2026	J	`jnl`	Vercation: Precise Vulnerable Open-Source Software Version Identification Based on Static Analysis and LLM. IEEE Trans. Software Eng. Yiran Cheng, Ting Zhang, Lwin Khin Shar, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun
2026	J	`jnl`	Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia. CoRR Wei Minn, Phong Phan, Vikas Kumar Malviya, Benjamin Adolphi, Yan Naing Tun, Henning Benzon Treichl, Albert Ching, Lwin Khin Shar, David Lo
2025	A*	`conf`	"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants. ASE Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025	J	`jnl`	"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants. CoRR Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025	J	`jnl`	"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors. CoRR Yue Liu, Yanjie Zhao, Yunbo Lyu, Ting Zhang, Haoyu Wang, David Lo
2025	—	`conf`	A Functional Software Reference Architecture for LLM-Integrated Systems. ICSA Companion Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo
2025	J	`jnl`	A Functional Software Reference Architecture for LLM-Integrated Systems. CoRR Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo
2025	J	`jnl`	A Knowledge Enhanced Large Language Model for Bug Localization. Proc. ACM Softw. Eng. Yue Li, Bohan Liu, Ting Zhang, Zhiqi Wang, David Lo, Lanxin Yang, Jun Lyu, He Zhang
2025	J	`jnl`	A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI. CoRR Cuiyun Gao, Guodong Fan, Chun Yong Chong, Shizhan Chen, Chao Liu, David Lo, Zibin Zheng, Qing Liao
2025	A	`conf`	APIDocBooster: An Extract-Then-Abstract Framework for Augmenting API Documentation. ICSME Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
2025	J	`jnl`	Agentic Software Issue Resolution with Large Language Models: A Survey. CoRR Zhonghao Jiang, David Lo, Zhongxin Liu
2025	J	`jnl`	AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation. CoRR Bo Gao, Yuan Wang, Qingsong Wei, Yong Liu, Rick Siow Mong Goh, David Lo
2025	J	`jnl`	Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering. CoRR Hang Yu, Yuzhou Lai, Li Zhang, Xiaoli Lian, Fang Liu, Yanrui Dong, Ting Zhang, Zhi Jin, David Lo
2025	J	`jnl`	An Empirical Study of Vulnerable Package Dependencies in LLM Repositories. CoRR Shuhan Liu, Xing Hu, Xin Xia, David Lo, Xiaohu Yang
2025	J	`jnl`	An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks. CoRR Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luís F. Gomes, Guang Yang, David Lo
2025	J	`jnl`	Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead. CoRR Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo
2025	J	`jnl`	Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks. CoRR Xing Hu, Feifei Niu, Junkai Chen, Xin Zhou, Junwei Zhang, Junda He, Xin Xia, David Lo
2025	J	`jnl`	AutoTEE: Automated Migration and Protection of Programs in Trusted Execution Environments. CoRR Ruidong Han, Zhou Yang, Chengyan Ma, Ye Liu, Yuqing Niu, Siqi Ma, Debin Gao, David Lo
2025	J	`jnl`	Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval. CoRR Huihui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine Irsan, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo
2025	A*	`conf`	Backdoors in Code Summarizers: How Bad Is It? ASE Chenyu Wang, Zhou Yang, Yaniv Harel, David Lo
2025	J	`jnl`	Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework. CoRR Han Hu, Wei Minn, Yonghui Liu, Jiakun Liu, Ferdian Thung, Terry Yue Zhuo, Lwin Khin Shar, Debin Gao, David Lo
2025	J	`jnl`	Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection. CoRR Ting Zhang, Chengran Yang, Yindu Su, Martin Weyssow, Huu Hung Nguyen, Tan Bui, Hong Jin Kang, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	Beyond Surface Similarity: Evaluating LLM-Based Test Refactorings with Structural and Semantic Awareness. CoRR Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	J	`jnl`	BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution. CoRR Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen Gong, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Uddin Ahmad, John Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra
2025	J	`jnl`	Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models. CoRR Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li
2025	J	`jnl`	Bridging Developer Instructions and Code Completion Through Instruction-Aware Fill-in-the-Middle Paradigm. CoRR Zhensu Sun, Chengran Yang, Chao Peng, Pengfei Gao, Xiaoning Du, Li Li, David Lo
2025	J	`jnl`	Bridging expert knowledge with deep learning techniques for just-in-time defect prediction. Empir. Softw. Eng. Xin Zhou, DongGyun Han, David Lo
2025	J	`jnl`	CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency. CoRR Renyi Zhong, Yintong Huo, Wenwei Gu, Jinxi Kuang, Zhihan Jiang, Guangba Yu, Yichen Li, David Lo, Michael R. Lyu
2025	J	`jnl`	CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation. CoRR Guang Yang, Yu Zhou, Xiang Chen, Wei Zheng, Xing Hu, Xin Zhou, David Lo, Taolue Chen
2025	A	`conf`	Characterising Bugs in Jupyter Platform. EASE Yutian Tang, Hongchen Cao, Yuxi Chen, David Lo
2025	J	`jnl`	Characterising Bugs in Jupyter Platform. CoRR Yutian Tang, Hongchen Cao, Yuxi Chen, David Lo
2025	J	`jnl`	Clone Detection for Smart Contracts: How Far Are We? Proc. ACM Softw. Eng. Zuobin Wang, Zhiyuan Wan, Yujing Chen, Yun Zhang, David Lo, Difan Xie, Xiaohu Yang
2025	A*	`conf`	Code-DiTing: Automatic Evaluation of Code Generation without References or Test Cases. ASE Guang Yang, Yu Zhou, Xiang Chen, Wei Zheng, Xing Hu, Xin Zhou, David Lo, Taolue Chen
2025	J	`jnl`	Curiosity-Driven Testing for Sequential Decision-Making Process. CoRR Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2025	J	`jnl`	DITING: A Static Analyzer for Identifying Bad Partitioning Issues in TEE Applications. CoRR Chengyan Ma, Ruidong Han, Ye Liu, Yuqing Niu, Di Lu, Chuang Tian, Jianfeng Ma, Debin Gao, David Lo
2025	J	`jnl`	DeepVec: State-Vector Aware Test Case Selection for Enhancing Recurrent Neural Network. IEEE Trans. Software Eng. Zhonghao Jiang, Meng Yan, Li Huang, Weifeng Sun, Chao Liu, Song Sun, David Lo
2025	A*	`conf`	Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? ACM Multimedia Yunbo Lyu, Zhou Yang, Yuqing Niu, Jing Jiang, David Lo
2025	J	`jnl`	Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? CoRR Yunbo Lyu, Zhou Yang, Yuqing Niu, Jing Jiang, David Lo
2025	J	`jnl`	Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems. ACM Trans. Softw. Eng. Methodol. Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li, David Lo
2025	—	`conf`	DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK Modification. SIGSOFT FSE Companion Zicheng Zhang, Jiakun Liu, Ferdian Thung, Xing Hu, Wei Minn, Yan Naing Tun, Lwin Khin Shar, David Lo, Debin Gao
2025	J	`jnl`	Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead. ACM Trans. Softw. Eng. Methodol. Jieke Shi, Zhou Yang, David Lo
2025	J	`jnl`	Enhancing Project-Specific Code Completion by Inferring Internal API Information. CoRR Le Deng, Xiaoxue Ren, Chao Ni, Ming Liang, David Lo, Zhongxin Liu
2025	J	`jnl`	Enhancing Project-Specific Code Completion by Inferring Internal API Information. IEEE Trans. Software Eng. Le Deng, Xiaoxia Ren, Chao Ni, Ming Liang, David Lo, Zhongxin Liu
2025	J	`jnl`	Enriching automatic test case generation by extracting relevant test inputs from bug reports. Empir. Softw. Eng. Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	J	`jnl`	Explaining Explanations: An Empirical Study of Explanations in Code Reviews. ACM Trans. Softw. Eng. Methodol. Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, Walid Maalej, David Lo
2025	J	`jnl`	Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. ACM Trans. Softw. Eng. Methodol. Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
2025	J	`jnl`	Exploring the Capabilities of LLMs for Code-Change-Related Tasks. ACM Trans. Softw. Eng. Methodol. Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li
2025	J	`jnl`	Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. ACM Trans. Softw. Eng. Methodol. Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo
2025	J	`jnl`	Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software. CoRR Yiran Cheng, Ting Zhang, Lwin Khin Shar, Zhe Lang, David Lo, Shichao Lv, Dongliang Fang, Zhiqiang Shi, Limin Sun
2025	J	`jnl`	FlexFL: Flexible and Effective Fault Localization With Open-Source Large Language Models. IEEE Trans. Software Eng. Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo
2025	J	`jnl`	From Code to Courtroom: LLMs as the New Software Judges. CoRR Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo
2025	J	`jnl`	GNNContext: GNN-based Code Context Prediction for Programming Tasks. IEEE Trans. Software Eng. Xiaoye Zheng, Zhiyuan Wan, Shun Liu, Kaiwen Yang, David Lo, Xiaohu Yang
2025	J	`jnl`	Hotpatching on the Fly - Mitigating Drone Incidents Arising From Incorrect Configuration. IEEE Trans. Dependable Secur. Comput. Ruidong Han, Juanru Li, Zhuo Ma, David Lo, Arash Shaghaghi, Jianfeng Ma, Siqi Ma
2025	J	`jnl`	How Are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective. ACM Trans. Softw. Eng. Methodol. Kisub Kim, Xin Zhou, Dongsun Kim, Julia Lawall, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Jaekwon Lee, David Lo
2025	J	`jnl`	How do Pre-Trained Models Support Software Engineering? An Empirical Study in Hugging Face. CoRR Alexandra González, Xavier Franch, David Lo, Silverio Martínez-Fernández
2025	J	`jnl`	Human-Aligned Code Readability Assessment with Large Language Models. CoRR Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Pawel Borsukiewicz, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	J	`jnl`	Identifying and Mitigating API Misuse in Large Language Models. CoRR Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John C. Grundy, Xiaoning Du
2025	J	`jnl`	Improving Co-Decoding Based Security Hardening of Code LLMs Leveraging Knowledge Distillation. IEEE Trans. Software Eng. Dong Li, Shanfu Shu, Meng Yan, Zhongxin Liu, Chao Liu, Xiaohong Zhang, David Lo
2025	J	`jnl`	Improving Code LLM Robustness to Prompt Perturbations via Layer-Aware Model Editing. CoRR Shuhan Liu, Xing Hu, Kerui Huang, Xiaohu Yang, David Lo, Xin Xia
2025	J	`jnl`	LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead. ACM Trans. Softw. Eng. Methodol. Junda He, Christoph Treude, David Lo
2025	J	`jnl`	LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead. CoRR Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo
2025	J	`jnl`	Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead. CoRR Guang Yang, Wei Zheng, Xiang Chen, Dong Liang, Peng Hu, Yukui Yang, Shaohang Peng, Zhenghan Li, Jiahui Feng, Xiao Wei, Kexin Sun, Deyuan Ma, Haotian Cheng, Yiheng Shen, Xing Hu, Terry Yue Zhuo, David Lo
2025	J	`jnl`	Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead. ACM Trans. Softw. Eng. Methodol. Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo
2025	J	`jnl`	Less Is More: On the Importance of Data Quality for Unit Test Generation. Proc. ACM Softw. Eng. Junwei Zhang, Xing Hu, Shan Gao, Xin Xia, David Lo, Shanping Li
2025	J	`jnl`	Less is More: On the Importance of Data Quality for Unit Test Generation. CoRR Junwei Zhang, Xing Hu, Shan Gao, Xin Xia, David Lo, Shanping Li
2025	J	`jnl`	LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks. CoRR Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, David Lo
2025	J	`jnl`	Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents. CoRR Ratnadira Widyasari, Martin Weyssow, Ivana Clairine Irsan, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo
2025	J	`jnl`	LibRec: Benchmarking Retrieval-Augmented LLMs for Library Migration Recommendations. CoRR Junxiao Han, Yarong Wang, Xiaodong Gu, Cuiyun Gao, Yao Wan, Song Han, David Lo, Shuiguang Deng
2025	J	`jnl`	Mapping NVD Records to Their VFCs: How Hard is it? CoRR Huu Hung Nguyen, Duc-Manh Tran, Yiran Cheng, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Lwin Khin Shar, Ouh Eng Lieh, Ting Zhang, David Lo
2025	J	`jnl`	Mind the Gap: A Readability-Aware Metric for Test Code Complexity. CoRR Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	J	`jnl`	More Effective JavaScript Breaking Change Detection via Dynamic Object Relation Graph. Proc. ACM Softw. Eng. Dezhen Kong, Jiakun Liu, Chao Ni, David Lo, Lingfeng Bao
2025	A*	`conf`	Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs. ASE Fanyu Wang, Chetan Arora, Yonghui Liu, Kaicheng Huang, Chakkrit Tantithamthavorn, Aldeida Aleti, Dishan Sambathkumar, David Lo
2025	J	`jnl`	Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs. CoRR Fanyu Wang, Chetan Arora, Yonghui Liu, Kaicheng Huang, Chakkrit Tantithamthavorn, Aldeida Aleti, Dishan Sambathkumar, David Lo
2025	J	`jnl`	Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports. CoRR Bo Wang, Pengyang Wang, Chong Chen, Qi Sun, Jieke Shi, Chengran Yang, Ming Deng, Youfang Lin, Zhou Yang, David Lo
2025	J	`jnl`	Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing. ACM Trans. Softw. Eng. Methodol. Li Huang, Weifeng Sun, Meng Yan, Zhongxin Liu, Yan Lei, David Lo
2025	J	`jnl`	Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? CoRR Yikun Li, Ngoc Tan Bui, Ting Zhang, Martin Weyssow, Chengran Yang, Xin Zhou, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tang, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models. Empir. Softw. Eng. Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo
2025	J	`jnl`	PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings. CoRR Huu Hung Nguyen, Anh Tuan Nguyen, Thanh Le-Cong, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Lwin Khin Shar, Ouh Eng Lieh, Ting Zhang, David Lo
2025	J	`jnl`	Prioritizing Speech Test Cases. ACM Trans. Softw. Eng. Methodol. Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, Dong-Gyun Han, David Lo
2025	J	`jnl`	R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation. CoRR Martin Weyssow, Chengran Yang, Junkai Chen, Yikun Li, Huihui Huang, Ratnadira Widyasari, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	Real-time Rectifying Flight Control Misconfiguration Using Intelligent Agent. ACM Trans. Softw. Eng. Methodol. Ruidong Han, Shangzhi Xu, Juanru Li, Elisa Bertino, David Lo, Jianfeng Ma, Siqi Ma
2025	A	`conf`	Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception. ICSME Wendkûuni C. Ouédraogo, Yinghua Li, Xueqi Dang, Xin Zhou, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025	J	`jnl`	Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models. ACM Trans. Softw. Eng. Methodol. Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo
2025	A*	`conf`	SE-Jury: An LLM-as-Ensemble-Judge Metric for Narrowing the Gap with Human Evaluation in SE. ASE Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luís F. Gomes, Guang Yang, Kui Liu, Xin Xia, David Lo
2025	J	`jnl`	SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents. CoRR Jianming Chang, Jieke Shi, Yunbo Lyu, Xin Zhou, Lulu Wang, Zhou Yang, Bixin Li, David Lo
2025	J	`jnl`	Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning. CoRR Zhaoyang Chu, Yao Wan, Zhikun Zhang, Di Wang, Zhou Yang, Hongyu Zhang, Pan Zhou, Xuanhua Shi, Hai Jin, David Lo
2025	J	`jnl`	Seasonal habitat suitability and distribution patterns of Mediterranean fin whales. Ecol. Informatics E. Papale, Antonella Arcangeli, A. Azzellino, M. Bellingeri, G. Bergamini, Giuseppa Buscaino, G. Calogero, A. Cañadas, David Lo, R. De Stephanis, N. Di-Méglio, C. Lanfredi, C. Giacoma, G. Gnone, B. Mussi, Daniela Silvia Pace, L. Pintore, L. Pireddu, J. M. Salazar-Sierra, P. Tepsich, B. Violi, A. Giovannini
2025	J	`jnl`	SecureAgentBench: Benchmarking Secure Code Generation under Realistic Vulnerability Scenarios. CoRR Junkai Chen, Huihui Huang, Yunbo Lyu, Junwen An, Jieke Shi, Chengran Yang, Ting Zhang, Haoye Tian, Yikun Li, Zhenhao Li, Xin Zhou, Xing Hu, David Lo
2025	J	`jnl`	Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework. CoRR Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification. CoRR Zicheng Zhang, Jiakun Liu, Ferdian Thung, Haoyu Ma, Rui Li, Yan Naing Tun, Wei Minn, Lwin Khin Shar, Shahar Maoz, Eran Toch, David Lo, Joshua Wong, Debin Gao
2025	—	`conf`	TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification. ACL (1) Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Chen Li Yu, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen
2025	J	`jnl`	TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification. CoRR Yindu Su, Huike Zou, Lin Sun, Ting Zhang, Haiyang Yang, Liyu Chen, David Lo, Qingheng Zhang, Shuguang Han, Jufeng Chen
2025	J	`jnl`	The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget. CoRR Dangfeng Pan, Zhensu Sun, Cenyuan Zhang, David Lo, Xiaoning Du
2025	J	`jnl`	Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning. CoRR Chengran Yang, Zhensu Sun, Hong Jin Kang, Jieke Shi, David Lo
2025	A*	`conf`	Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand. ASE Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo
2025	J	`jnl`	Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand. CoRR Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo
2025	J	`jnl`	Toward Better Comprehension of Breaking Changes in the NPM Ecosystem. ACM Trans. Softw. Eng. Methodol. Dezhen Kong, Jiakun Liu, Lingfeng Bao, David Lo
2025	J	`jnl`	Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. CoRR Yixin Cao, Shibo Hong, Xinze Li, Jiahao Ying, Yubo Ma, Haiyuan Liang, Yantao Liu, Zijun Yao, Xiaozhi Wang, Dan Huang, Wenxuan Zhang, Lifu Huang, Muhao Chen, Lei Hou, Qianru Sun, Xingjun Ma, Zuxuan Wu, Min-Yen Kan, David Lo, Qi Zhang, Heng Ji, Jing Jiang, Juanzi Li, Aixin Sun, Xuanjing Huang, Tat-Seng Chua, Yu-Gang Jiang
2025	J	`jnl`	Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning. CoRR Ye Liu, Yuqing Niu, Chengyan Ma, Ruidong Han, Wei Ma, Yi Li, Debin Gao, David Lo
2025	J	`jnl`	Trace: Securing Smart Contract Repository Against Access Control Vulnerability. CoRR Chong Chen, Jiachi Chen, Lingfeng Bao, David Lo, Yanlin Wang, Zhenyu Shan, Ting Chen, Guangqiang Yin, Jianxing Yu, Zibin Zheng
2025	J	`jnl`	Understanding the OSS Communities of Deep Learning Frameworks: A Comparative Case Study of PyTorch and TensorFlow. ACM Trans. Softw. Eng. Methodol. Yunqi Chen, Zhiyuan Wan, Yifei Zhuang, Ning Liu, David Lo, Xiaohu Yang
2025	J	`jnl`	Understanding the Robustness of Transformer-Based Code Intelligence via Code Transformation: Challenges and Opportunities. IEEE Trans. Software Eng. Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Michael R. Lyu, Zenglin Xu
2025	J	`jnl`	UniCoR: Modality Collaboration for Robust Cross-Language Hybrid Code Retrieval. CoRR Yang Yang, Li Kuang, Jiakun Liu, Zhongxin Liu, Yingjie Xia, David Lo
2025	C	`conf`	Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia. APSEC Wei Minn, Phong Phan, Vikas Kumar Malviya, Benjamin Adolphi, Yan Naing Tun, Henning Benzon Treichl, Albert Ching, Lwin Khin Shar, David Lo
2025	J	`jnl`	VisDocSketcher: Towards Scalable Visual Documentation with Agentic Systems. CoRR Luís F. Gomes, Xin Zhou, David Lo, Rui Abreu
2025	J	`jnl`	VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones. CoRR Tan Bui, Yan Naing Tun, Thanh Phuc Nguyen, Yindu Su, Ferdian Thung, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Lwin Khin Shar, Eng Lieh Ouh, Ting Zhang, David Lo
2025	J	`jnl`	What You Trust Is Insecure: Demystifying How Developers (Mis)Use Trusted Execution Environments in Practice. CoRR Yuqing Niu, Jieke Shi, Ruidong Han, Ye Liu, Chengyan Ma, Yunbo Lyu, David Lo
2025	J	`jnl`	When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. CoRR Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo
2025	J	`jnl`	When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey. ACM Comput. Surv. Feifei Niu, Chuanyi Li, Kui Liu, Xin Xia, David Lo
2025	J	`jnl`	Which Factors Make Code LLMs More Vulnerable to Backdoor Attacks? A Systematic Study. CoRR Chenyu Wang, Zhou Yang, Yaniv Harel, David Lo
2025	J	`jnl`	Why Does My Transaction Fail? A First Look at Failed Transactions on the Solana Blockchain. CoRR Xiaoye Zheng, Zhiyuan Wan, David Lo, Difan Xie, Xiaohu Yang
2025	J	`jnl`	Why Does My Transaction Fail? A First Look at Failed Transactions on the Solana Blockchain. Proc. ACM Softw. Eng. Xiaoye Zheng, Zhiyuan Wan, David Lo, Difan Xie, Xiaohu Yang
2025	A*	`conf`	Why Is My Transaction Risky? Understanding Smart Contract Semantics and Interactions in the NFT Ecosystem. ASE Yujing Chen, Xuanming Liu, Zhiyuan Wan, Zuobin Wang, David Lo, Difan Xie, Xiaohu Yang
2025	J	`jnl`	Why Is My Transaction Risky? Understanding Smart Contract Semantics and Interactions in the NFT Ecosystem. CoRR Yujing Chen, Xuanming Liu, Zhiyuan Wan, Zuobin Wang, David Lo, Difan Xie, Xiaohu Yang
2025	J	`jnl`	Zero-Shot Cross-Domain Code Search without Fine-Tuning. CoRR Keyu Liang, Zhongxin Liu, Chao Liu, Zhiyuan Wan, David Lo, Xiaohu Yang
2025	J	`jnl`	Zero-Shot Cross-Domain Code Search without Fine-Tuning. Proc. ACM Softw. Eng. Keyu Liang, Zhongxin Liu, Chao Liu, Zhiyuan Wan, David Lo, Xiaohu Yang
2024	J	`jnl`	A Closer Look at the Security Risks in the Rust Ecosystem. ACM Trans. Softw. Eng. Methodol. Xiaoye Zheng, Zhiyuan Wan, Yun Zhang, Rui Chang, David Lo
2024	J	`jnl`	A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection. CoRR Beiqi Zhang, Peng Liang, Xin Zhou, Xiyu Zhou, David Lo, Qiong Feng, Zengyang Li, Lin Li
2024	A*	`conf`	A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. USENIX Security Symposium Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
2024	J	`jnl`	A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. CoRR Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen
2024	J	`jnl`	ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models. CoRR Chengran Yang, Hong Jin Kang, Jieke Shi, David Lo
2024	J	`jnl`	AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation. CoRR Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo
2024	A	`conf`	AI Coders Are among Us: Rethinking Programming Language Grammar towards Efficient Code Generation. ISSTA Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo
2024	A	`conf`	An Empirical Study of Automatic Program Repair Techniques for Injection Vulnerabilities. ICSME Tingwei Zhu, Tongtong Xu, Kui Liu, Jiayuan Zhou, Xing Hu, Xin Xia, Tian Zhang, David Lo
2024	A*	`conf`	An Explainable Automated Model for Measuring Software Engineer Contribution. ASE Yue Li, He Zhang, Yuzhe Jin, Zhong Ren, Liming Dong, Jun Lyu, Lanxin Yang, David Lo, Dong Shao
2024	J	`jnl`	Analyzing and revivifying function signature inference using deep learning. Empir. Softw. Eng. Yan Lin, Trisha Singhal, Debin Gao, David Lo
2024	J	`jnl`	Angels or demons: investigating and detecting decentralized financial traps on ethereum smart contracts. Autom. Softw. Eng. Jiachi Chen, Jiang Hu, Xin Xia, David Lo, John C. Grundy, Zhipeng Gao, Ting Chen
2024	—	`conf`	Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. SEET@ICSE Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim
2024	J	`jnl`	Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. CoRR Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim
2024	A*	`conf`	B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. ASE Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun
2024	J	`jnl`	B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. CoRR Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun
2024	A*	`conf`	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
2024	J	`jnl`	Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques. CoRR Ratnadira Widyasari, David Lo, Lizi Liao
2024	J	`jnl`	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra
2024	J	`jnl`	Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction. CoRR Xin Zhou, DongGyun Han, David Lo
2024	J	`jnl`	BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies. CoRR Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh
2024	J	`jnl`	CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics. CoRR Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, Frank Liauw, Martin Weyssow, Hong Jin Kang, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2024	A	`conf`	CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. ISSTA Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo
2024	A*	`conf`	Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. ICSE Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Wei Liu
2024	J	`jnl`	Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. CoRR Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Wei Liu
2024	A*	`conf`	Code Search is All You Need? Improving Code Suggestions with Code Search. ICSE Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo
2024	J	`jnl`	Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection. CoRR Xin Zhou, Duc-Manh Tran, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo
2024	A*	`conf`	Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2024	J	`jnl`	DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects. IEEE Trans. Software Eng. Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye
2024	J	`jnl`	DeCE: Deceptive Cross-Entropy Loss Designed for Defending Backdoor Attacks. CoRR Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, David Lo, Taolue Chen
2024	J	`jnl`	Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization. CoRR Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo
2024	A	`conf`	Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization. SANER Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo
2024	J	`jnl`	Demystifying the Characteristics for Smart Contract Upgrades. CoRR Ye Liu, Shuo Li, Xiuheng Wu, Yi Li, Zhiyang Chen, David Lo
2024	J	`jnl`	Ecosystem of Large Language Models for Code. CoRR Zhou Yang, Jieke Shi, David Lo
2024	J	`jnl`	Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead. CoRR Jieke Shi, Zhou Yang, David Lo
2024	J	`jnl`	Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. IEEE Trans. Software Eng. Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo
2024	A*	`conf`	Exploiting Library Vulnerability via Migration Based Automating Test Generation. ICSE Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang
2024	J	`jnl`	Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li
2024	—	`conf`	Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation. ICSE Companion Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2024	A*	`conf`	FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. ICSE Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo
2024	A	`conf`	FDI: Attack Neural Code Generation Systems through User Feedback Channel. ISSTA Zhensu Sun, Xiaoning Du, Xiapu Luo, Fu Song, David Lo, Li Li
2024	J	`jnl`	FDI: Attack Neural Code Generation Systems through User Feedback Channel. CoRR Zhensu Sun, Xiaoning Du, Xiapu Luo, Fu Song, David Lo, Li Li
2024	J	`jnl`	Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo
2024	J	`jnl`	Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. CoRR Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo
2024	J	`jnl`	FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models. CoRR Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo
2024	J	`jnl`	Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. IEEE Trans. Software Eng. Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2024	—	`conf`	Greening Large Language Models of Code. ICSE (SEIS) Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2024	J	`jnl`	Hotfixing Large Language Models for Code: How Far Can Parameter-Efficient Fine-Tuning Go? CoRR Zhou Yang, David Lo
2024	J	`jnl`	How do Machine Learning Models Change? CoRR Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández
2024	J	`jnl`	Inferring Properties of Graph Neural Networks. CoRR Dat Nguyen, Hieu M. Vu, Cong-Thanh Le, Bach Le, David Lo, Corina S. Pasareanu
2024	J	`jnl`	Just-In-Time TODO-Missed Commits Detection. IEEE Trans. Software Eng. Haoye Wang, Zhipeng Gao, Xing Hu, David Lo, John Grundy, Xinyu Wang
2024	J	`jnl`	LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems. CoRR Zhensu Sun, Haotian Zhu, Bowen Xu, Xiaoning Du, Li Li, David Lo
2024	J	`jnl`	LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead. CoRR Junda He, Christoph Treude, David Lo
2024	J	`jnl`	LLM-Enhanced Static Analysis for Precise Identification of Vulnerable OSS Versions. CoRR Yiran Cheng, Lwin Khin Shar, Ting Zhang, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun
2024	A*	`conf`	LLMs and Prompting for Unit Test Generation: A Large-Scale Evaluation. ASE Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2024	J	`jnl`	Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair. CoRR Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo
2024	J	`jnl`	Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead. CoRR Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo
2024	—	`conf`	Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. NIER@ICSE Xin Zhou, Ting Zhang, David Lo
2024	J	`jnl`	Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. CoRR Xin Zhou, Ting Zhang, David Lo
2024	J	`jnl`	Large Language Models for Software Engineering: A Systematic Literature Review. ACM Trans. Softw. Eng. Methodol. Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang
2024	J	`jnl`	Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation. CoRR Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2024	J	`jnl`	Less is More: DocString Compression in Code Generation. CoRR Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Ke Liu, Xin Zhou, David Lo, Taolue Chen
2024	J	`jnl`	Leveraging Large Language Model for Automatic Patch Correctness Assessment. IEEE Trans. Software Eng. Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Hung Huu Nguyen, Thanh Le-Cong, Junda He, Bach Le, David Lo
2024	A*	`conf`	MUT: Human-in-the-Loop Unit Test Migration. ICSE Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, David Lo, Xiaohu Yang
2024	J	`jnl`	Meta-Learning for Multi-Family Android Malware Classification. ACM Trans. Softw. Eng. Methodol. Yao Li, Dawei Yuan, Tao Zhang, Haipeng Cai, David Lo, Cuiyun Gao, Xiapu Luo, He Jiang
2024	A*	`conf`	MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating. ICSE Jiakun Liu, Zicheng Zhang, Xing Hu, Ferdian Thung, Shahar Maoz, Debin Gao, Eran Toch, Zhipeng Zhao, David Lo
2024	J	`jnl`	On the sustainability of deep learning projects: Maintainers' perspective. J. Softw. Evol. Process. Junxiao Han, Jiakun Liu, David Lo, Chen Zhi, Yishan Chen, Shuiguang Deng
2024	A*	`conf`	Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources. ICSE Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo
2024	A*	`conf`	PPT4J: Patch Presence Test for Java Binaries. ICSE Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang
2024	A*	`conf`	PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. ICSE Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li
2024	J	`jnl`	PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo
2024	A	`conf`	Practitioners' Expectations on Automated Test Generation. ISSTA Xiao Yu, Lei Liu, Xing Hu, Jacky Keung, Xin Xia, David Lo
2024	—	`ed.`	Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, FORGE 2024, Lisbon, Portugal, 14 April 2024 FORGE David Lo, Xin Xia, Massimiliano Di Penta, Xing Hu
2024	J	`jnl`	Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices. CoRR Chenyu Wang, Zhou Yang, Ze Shi Li, Daniela E. Damian, David Lo
2024	J	`jnl`	Range Specification Bug Detection in Flight Control System Through Fuzzing. IEEE Trans. Software Eng. Ruidong Han, Siqi Ma, Juanru Li, Surya Nepal, David Lo, Zhuo Ma, Jianfeng Ma
2024	J	`jnl`	Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. ACM Trans. Softw. Eng. Methodol. Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
2024	A	`conf`	Regret-based Defense in Adversarial Reinforcement Learning. AAMAS Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo
2024	J	`jnl`	Representation Learning for Stack Overflow Posts: How Far Are We? ACM Trans. Softw. Eng. Methodol. Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
2024	A	`conf`	Requirements Engineering for Trustworthy Human-AI Synergy in Software Engineering 2.0. RE David Lo
2024	A*	`conf`	Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases. ICDE Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang
2024	J	`jnl`	Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code. CoRR Zhou Yang, Zhensu Sun, Terry Yue Zhuo, Premkumar T. Devanbu, David Lo
2024	J	`jnl`	Scoping Software Engineering for AI: The TSE Perspective. IEEE Trans. Software Eng. Sebastián Uchitel, Marsha Chechik, Massimiliano Di Penta, Bram Adams, Nazareno Aguirre, Gabriele Bavota, Domenico Bianculli, Kelly Blincoe, Ana Cavalcanti, Yvonne Dittrich, Filomena Ferrucci, Rashina Hoda, Liguo Huang, David Lo, Michael R. Lyu, Lei Ma, Jonathan I. Maletic, Leonardo Mariani, Collin McMillan, Tim Menzies, Martin Monperrus, Ana Moreno, Nachiappan Nagappan, Liliana Pasquale, Patrizio Pelliccione, Michael Pradel, Rahul Purandare, Sukyoung Ryu, Mehrdad Sabetzadeh, Alexander Serebrenik, Jun Sun, Chakkrit Kla Tantithamthavorn, Christoph Treude, Manuel Wimmer, Yingfei Xiong, Tao Yue, Andy Zaidman, Tao Zhang, Hao Zhong
2024	A	`conf`	Self-Admitted Technical Debts Identification: How Far Are We? SANER Hao Gu, Shichao Zhang, Qiao Huang, Zhifang Liao, Jiakun Liu, David Lo
2024	A*	`conf`	Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection. ASE Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Xiaolei Liu, Xingwei Lin, Wei Liu
2024	J	`jnl`	Stealthy Backdoor Attack for Code Models. IEEE Trans. Software Eng. Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
2024	A*	`conf`	Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. ICSE Yanming Yang, Xing Hu, Xin Xia, David Lo, Xiaohu Yang
2024	A	`conf`	Sustainability Forecasting for Deep Learning Packages. SANER Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng
2024	J	`jnl`	Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies. CoRR Jieke Shi, Junda He, Zhou Yang, Dorde Zikelic, David Lo
2024	J	`jnl`	Test smells in LLM-Generated Unit Tests. CoRR Wendkûuni C. Ouédraogo, Yinghua Li, Abdoul Kader Kaboré, Xunzhu Tang, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2024	C	`conf`	The Grader: A Grading Assistant for Lab Tests and a Teaching Tool. EDUCON Manoj Thulasidas, David Lo
2024	—	`conf`	Towards Benchmarking the Coverage of Automated Testing Tools in Android against Manual Testing. MOBILESoft@ICSE Ferdian Thung, Ivana Clairine Irsan, Jiakun Liu, David Lo
2024	J	`jnl`	Towards Better Comprehension of Breaking Changes in the NPM Ecosystem. CoRR Dezhen Kong, Jiakun Liu, Lingfeng Bao, David Lo
2024	J	`jnl`	Towards More Precise Coincidental Correctness Detection With Deep Semantic Learning. IEEE Trans. Software Eng. Huan Xie, Yan Lei, Meng Yan, Shanshan Li, Xiaoguang Mao, Yue Yu, David Lo
2024	—	`conf`	Towards Speedy Permission-Based Debloating for Android Apps. MOBILESoft@ICSE Ferdian Thung, Jiakun Liu, Pattarakrit Rattanukul, Shahar Maoz, Eran Toch, Debin Gao, David Lo
2024	J	`jnl`	Towards a Classification of Open-Source ML Models and Datasets for Software Engineering. CoRR Alexandra González Álvarez, Xavier Franch, David Lo, Silverio Martínez-Fernández
2024	J	`jnl`	Understanding Newcomers' Onboarding Process in Deep Learning Projects. IEEE Trans. Software Eng. Junxiao Han, Jiahao Zhang, David Lo, Xin Xia, Shuiguang Deng, Minghui Wu
2024	A*	`conf`	Unveiling Memorization in Code Models. ICSE Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2024	J	`jnl`	VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection. CoRR Xin-Cheng Wen, Xinchen Wang, Yujia Chen, Ruida Hu, David Lo, Cuiyun Gao
2024	J	`jnl`	{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. CoRR Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Sherry Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
2023	J	`jnl`	A Closer Look at the Security Risks in the Rust Ecosystem. CoRR Xiaoye Zheng, Zhiyuan Wan, Yun Zhang, Rui Chang, David Lo
2023	—	`conf`	A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. InteNSE@ICSE Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour
2023	J	`jnl`	A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. CoRR Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour
2023	J	`jnl`	APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation. CoRR Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
2023	J	`jnl`	APIHarvest: Harvesting API Information from Various Online Sources. CoRR Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo
2023	J	`jnl`	APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge. CoRR Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo
2023	A	`conf`	ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. ICST Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo
2023	J	`jnl`	ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. CoRR Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo
2023	J	`jnl`	Adversarial Attacks on Code Models with Discriminative Graph Patterns. CoRR Thanh-Dat Nguyen, Zhou Yang, Xuan-Bach Dinh Le, Patanamon Thongtanunam, David Lo
2023	A*	`conf`	Are We Ready to Embrace Generative AI for Software Q&A? ASE Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo
2023	J	`jnl`	Are We Ready to Embrace Generative AI for Software Q&A? CoRR Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo
2023	A*	`conf`	AutoDebloater: Automated Android App Debloating. ASE Jiakun Liu, Xing Hu, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo
2023	A	`conf`	Automatic Identification of Crash-inducing Smart Contracts. SANER Chao Ni, Cong Tian, Kaiwen Yang, David Lo, Jiachi Chen, Xiaohu Yang
2023	A	`conf`	Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes. MSR Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo
2023	A	`conf`	CCBERT: Self-Supervised Code Change Representation Learning. ICSME Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
2023	J	`jnl`	CCBERT: Self-Supervised Code Change Representation Learning. CoRR Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
2023	A*	`conf`	CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. ICSE Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo
2023	J	`jnl`	CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. CoRR Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo
2023	A*	`conf`	CoLeFunDa: Explainable Silent Vulnerability Fix Identification. ICSE Jiayuan Zhou, Michael Pacheco, Jinfu Chen, Xing Hu, Xin Xia, David Lo, Ahmed E. Hassan
2023	J	`jnl`	Context-Aware Neural Fault Localization. IEEE Trans. Software Eng. Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo
2023	J	`jnl`	Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection. CoRR Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo
2023	—	`conf`	C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE Yanming Yang, Ying Zou, Xing Hu, David Lo, Chao Ni, John C. Grundy, Xin Xia
2023	J	`jnl`	DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects. CoRR Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye
2023	J	`jnl`	Data Augmentation Approaches for Source Code Models: A Survey. CoRR Terry Yue Zhuo, Zhou Yang, Zhensu Sun, Yufei Wang, Li Li, Xiaoning Du, Zhenchang Xing, David Lo
2023	J	`jnl`	DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. IEEE Trans. Software Eng. Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein
2023	J	`jnl`	Duplicate Bug Report Detection: How Far Are We? ACM Trans. Softw. Eng. Methodol. Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, Lingxiao Jiang
2023	J	`jnl`	Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports. CoRR Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2023	J	`jnl`	Evaluating Pre-trained Language Models for Repairing API Misuses. CoRR Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo, Asankhaya Sharma, Lingxiao Jiang
2023	J	`jnl`	Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. CoRR Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo
2023	J	`jnl`	Experimental comparison of features, analyses, and classifiers for Android malware detection. Empir. Softw. Eng. Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Yan Naing Tun, David Lo, Lingxiao Jiang, Christoph Bienert
2023	J	`jnl`	Explaining Explanation: An Empirical Study on Explanation in Code Reviews. CoRR Ratnadira Widyasari, Ting Zhang, Abir Bouraffa, David Lo
2023	J	`jnl`	Exploiting Library Vulnerability via Migration Based Automating Test Generation. CoRR Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang
2023	J	`jnl`	Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. CoRR Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
2023	A	`conf`	Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches. SANER Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo
2023	J	`jnl`	FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. CoRR Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo
2023	A*	`conf`	Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. ICSE Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, Shanping Li
2023	J	`jnl`	Generation-based Code Review Automation: How Far Are We? CoRR Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo
2023	A	`conf`	Generation-based Code Review Automation: How Far Are Weƒ. ICPC Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo
2023	J	`jnl`	Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. CoRR Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2023	J	`jnl`	How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective. CoRR Kisub Kim, Xin Zhou, Dongsun Kim, Julia Lawall, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Jaekwon Lee, David Lo
2023	J	`jnl`	How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs. IEEE Trans. Software Eng. Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
2023	—	`conf`	Human-Centered AI for Software Engineering: Requirements, Reflection, and Road Ahead. ISEC David Lo
2023	J	`jnl`	I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts. ACM Trans. Softw. Eng. Methodol. Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xindong Zhang, Zhenchang Xing
2023	J	`jnl`	Invalidator: Automated Patch Correctness Assessment Via Semantic and Syntactic Reasoning. IEEE Trans. Software Eng. Thanh Le-Cong, Duc-Minh Luong, Xuan-Bach Dinh Le, David Lo, Nhat-Hoa Tran, Bui Quang Huy, Quyet-Thang Huynh
2023	J	`jnl`	Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning. CoRR Thanh Le-Cong, Duc-Minh Luong, Xuan-Bach Dinh Le, David Lo, Nhat-Hoa Tran, Bui Quang Huy, Quyet-Thang Huynh
2023	J	`jnl`	Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li
2023	J	`jnl`	Large Language Models for Software Engineering: A Systematic Literature Review. CoRR Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John C. Grundy, Haoyu Wang
2023	J	`jnl`	Multi-Granularity Detector for Vulnerability Fixes. CoRR Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo
2023	J	`jnl`	Multi-Granularity Detector for Vulnerability Fixes. IEEE Trans. Software Eng. Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo
2023	A	`conf`	Multi-Modal API Recommendation. SANER Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo
2023	A	`conf`	NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. MSR Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo
2023	J	`jnl`	NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. CoRR Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo
2023	—	`conf`	On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. ESEC/SIGSOFT FSE Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
2023	J	`jnl`	On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. CoRR Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
2023	J	`jnl`	PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts. CoRR Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo
2023	J	`jnl`	PPT4J: Patch Presence Test for Java Binaries. CoRR Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang
2023	J	`jnl`	PS CoRR Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li
2023	J	`jnl`	PatchZero: Zero-Shot Automatic Patch Correctness Assessment. CoRR Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo
2023	A	`conf`	Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts. MSR Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo
2023	J	`jnl`	Prioritizing Speech Test Cases. CoRR Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo
2023	J	`jnl`	Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. CoRR Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
2023	J	`jnl`	Regret-Based Optimization for Robust Reinforcement Learning. CoRR Roman Belaire, Pradeep Varakantham, David Lo
2023	J	`jnl`	Representation Learning for Stack Overflow Posts: How Far are We? CoRR Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
2023	J	`jnl`	Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models. CoRR Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo
2023	J	`jnl`	Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo
2023	J	`jnl`	Robust Test Selection for Deep Neural Networks. IEEE Trans. Software Eng. Weifeng Sun, Meng Yan, Zhongxin Liu, David Lo
2023	J	`jnl`	SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications. CoRR Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Mark Staples, David Lo
2023	—	`conf`	Software Architecture in Practice: Challenges and Opportunities. ESEC/SIGSOFT FSE Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo
2023	J	`jnl`	Software Architecture in Practice: Challenges and Opportunities. CoRR Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo
2023	J	`jnl`	Stealthy Backdoor Attack for Code Models. CoRR Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
2023	—	`ch.`	Supporting Collateral Evolution in Software Ecosystems. Software Ecosystems: Tooling and Analytics Zhou Yang, Bowen Xu, David Lo
2023	A	`conf`	Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. ISSTA Julia Kaiwen Lau, Kelvin Kai Wen Kong, Julian Hao Yong, Per Hoong Tan, Zhou Yang, Zi Qian Yong, Joshua Chern Wey Low, Chun Yong Chong, Mei Kuan Lim, David Lo
2023	J	`jnl`	Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. CoRR Julia Kaiwen Lau, Kelvin Kai Wen Kong, Julian Hao Yong, Per Hoong Tan, Zhou Yang, Zi Qian Yong, Joshua Chern Wey Low, Chun Yong Chong, Mei Kuan Lim, David Lo
2023	—	`conf`	TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. ICSE Companion Chengran Yang, Bowen Xu, Jiakun Liu, David Lo
2023	A*	`conf`	The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. ASE Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo
2023	J	`jnl`	The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. CoRR Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo
2023	A	`conf`	The Future Can't Help Fix The Past: Assessing Program Repair In The Wild. ICSME Vinay Kabadi, Dezhen Kong, Siyu Xie, Lingfeng Bao, Gede Artha Azriadi Prana, Tien-Duy B. Le, Xuan-Bach Dinh Le, David Lo
2023	A	`conf`	Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go? SANER Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo
2023	J	`jnl`	Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR Zichong Wang, Zhou Yang, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang
2023	J	`jnl`	Towards Smaller, Faster, and Greener Language Models of Code. CoRR Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2023	—	`conf`	Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps. ICSE-FoSE David Lo
2023	J	`jnl`	Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps. CoRR David Lo
2023	A*	`conf`	Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. ICSE Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu
2023	J	`jnl`	Web APIs: Features, Issues, and Expectations - A Large-Scale Empirical Study of Web APIs From Two Publicly Accessible Registries Using Stack Overflow and a User Survey. IEEE Trans. Software Eng. Neng Zhang, Ying Zou, Xin Xia, Qiao Huang, David Lo, Shanping Li
2023	J	`jnl`	What Do Code Models Memorize? An Empirical Study on Large Language Models of Code. CoRR Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2023	A	`conf`	What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. MSR Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
2023	J	`jnl`	What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. CoRR Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
2022	J	`jnl`	A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. CoRR Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu
2022	J	`jnl`	A Deep Dive into the Impact of COVID-19 on Software Development. IEEE Trans. Software Eng. Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed
2022	J	`jnl`	A Pre-Trained BERT Model for Android Applications. CoRR Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein
2022	J	`jnl`	A Survey on Deep Learning for Software Engineering. ACM Comput. Surv. Yanming Yang, Xin Xia, David Lo, John C. Grundy
2022	—	`conf`	ARSearch: Searching for API Related Resources from Stack Overflow and GitHub. ICSE-Companion Kien Luong, Ferdian Thung, David Lo
2022	A	`conf`	ARSeek: identifying API resource using code and discussion on stack overflow. ICPC Kien Luong, Mohammad Abdul Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo
2022	J	`jnl`	Accessibility in Software Practice: A Practitioner's Perspective. ACM Trans. Softw. Eng. Methodol. Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford
2022	A	`conf`	Accurate generation of trigger-action programs with domain-adapted sequence-to-sequence learning. ICPC Imam Nur Bani Yusuf, Lingxiao Jiang, David Lo
2022	J	`jnl`	Active Learning of Discriminative Subgraph Patterns for API Misuse Detection. CoRR Hong Jin Kang, David Lo
2022	J	`jnl`	Active Learning of Discriminative Subgraph Patterns for API Misuse Detection. IEEE Trans. Software Eng. Hong Jin Kang, David Lo
2022	J	`jnl`	An Empirical Study of Release Note Production and Usage in Practice. IEEE Trans. Software Eng. Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann
2022	J	`jnl`	An Exploratory Study on Code Attention in BERT. CoRR Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard, David Lo
2022	A	`conf`	An exploratory study on code attention in BERT. ICPC Rishab Sharma, Fuxiang Chen, Fatemeh H. Fard, David Lo
2022	J	`jnl`	An exploratory study on the repeatedly shared external links on Stack Overflow. Empir. Softw. Eng. Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li
2022	A	`conf`	Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development. SANER Abhishek Sharma, Gede Artha Azriadi Prana, Anamika Sawhney, Nachiappan Nagappan, David Lo
2022	J	`jnl`	AndroEvolve: automated Android API update with data flow analysis and variable denormalization. Empir. Softw. Eng. Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller
2022	A*	`conf`	Answer Summarization for Technical Queries: Benchmark and New Approach. ASE Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	J	`jnl`	Answer Summarization for Technical Queries: Benchmark and New Approach. CoRR Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	A	`conf`	Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? SANER Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo
2022	J	`jnl`	Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? CoRR Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo
2022	A	`conf`	AutoPRTitle: A Tool for Automatic Pull Request Title Generation. ICSME Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, David Lo, Lingxiao Jiang
2022	J	`jnl`	AutoPRTitle: A Tool for Automatic Pull Request Title Generation. CoRR Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, David Lo, Lingxiao Jiang
2022	J	`jnl`	AutoPruner: Transformer-Based Call Graph Pruning. CoRR Thanh Le-Cong, Hong Jin Kang, Truong Giang Nguyen, Stefanus Agus Haryono, David Lo, Xuan-Bach Dinh Le, Huynh Quyet Thang
2022	—	`conf`	AutoPruner: transformer-based call graph pruning. ESEC/SIGSOFT FSE Thanh Le-Cong, Hong Jin Kang, Truong Giang Nguyen, Stefanus Agus Haryono, David Lo, Xuan-Bach Dinh Le, Huynh Quyet Thang
2022	A	`conf`	Automated identification of libraries from vulnerability data: can we do better? ICPC Stefanus A. Haryono, Hong Jin Kang, Abhishek Sharma, Asankhaya Sharma, Andrew E. Santosa, Ming Yi Ang, David Lo
2022	A	`conf`	Automatic Pull Request Title Generation. ICSME Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang
2022	J	`jnl`	Automatic Pull Request Title Generation. CoRR Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang
2022	J	`jnl`	Automating App Review Response Generation Based on Contextual Knowledge. ACM Trans. Softw. Eng. Methodol. Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu
2022	A	`conf`	Benchmarking library recognition in tweets. ICPC Ting Zhang, Divya Prabha Chandrasekaran, Ferdian Thung, David Lo
2022	J	`jnl`	BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. IEEE Trans. Software Eng. Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, David Lo
2022	J	`jnl`	Broken External Links on Stack Overflow. IEEE Trans. Software Eng. Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li
2022	J	`jnl`	CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing. CoRR Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo
2022	A	`conf`	Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? SANER Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
2022	J	`jnl`	Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? CoRR Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
2022	J	`jnl`	Chatbot4QR: Interactive Query Refinement for Technical Question Retrieval. IEEE Trans. Software Eng. Neng Zhang, Qiao Huang, Xin Xia, Ying Zou, David Lo, Zhenchang Xing
2022	J	`jnl`	Code Smells in Machine Learning Systems. CoRR Jiri Gesi, Siqi Liu, Jiawei Li, Iftekhar Ahmed, Nachiappan Nagappan, David Lo, Eduardo Santana de Almeida, Pavneet Singh Kochhar, Lingfeng Bao
2022	J	`jnl`	CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words. ACM Trans. Softw. Eng. Methodol. Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li
2022	—	`conf`	CodeMatcher: a tool for large-scale code search based on query semantics matching. ESEC/SIGSOFT FSE Chao Liu, Xuanlin Bao, Xin Xia, Meng Yan, David Lo, Ting Zhang
2022	A*	`conf`	Compressing Pre-trained Models of Code into 3 MB. ASE Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo
2022	J	`jnl`	Compressing Pre-trained Models of Code into 3 MB. CoRR Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo
2022	J	`jnl`	Correlating Automated and Human Evaluation of Code Documentation Generation Quality. ACM Trans. Softw. Eng. Methodol. Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, Thomas Zimmermann
2022	A	`conf`	Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
2022	J	`jnl`	Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction. IEEE Trans. Software Eng. Xiaoxue Wu, Wei Zheng, Xin Xia, David Lo
2022	J	`jnl`	Deep Just-In-Time Defect Localization. IEEE Trans. Software Eng. Fangcheng Qiu, Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xinyu Wang
2022	J	`jnl`	Defect Identification, Categorization, and Repair: Better Together. CoRR Chao Ni, Kaiwen Yang, Xin Xia, David Lo, Xiang Chen, Xiaohu Yang
2022	J	`jnl`	DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode. IEEE Trans. Software Eng. Jiachi Chen, Xin Xia, David Lo, John Grundy, Xiapu Luo, Ting Chen
2022	J	`jnl`	Defining Smart Contract Defects on Ethereum. IEEE Trans. Software Eng. Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, Ting Chen
2022	A*	`conf`	Detecting False Alarms from Automatic Static Analysis Tools: How Far are We? ICSE Hong Jin Kang, Khai Loong Aw, David Lo
2022	J	`jnl`	Detecting False Alarms from Automatic Static Analysis Tools: How Far are We? CoRR Hong Jin Kang, Khai Loong Aw, David Lo
2022	J	`jnl`	Duplicate Bug Report Detection: How Far Are We? CoRR Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, Lingxiao Jiang
2022	A	`conf`	Efficient Search of Live-Coding Screencasts from Online Videos. SANER Chengran Yang, Ferdian Thung, David Lo
2022	J	`jnl`	Efficient Search of Live-Coding Screencasts from Online Videos. CoRR Chengran Yang, Ferdian Thung, David Lo
2022	J	`jnl`	Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu
2022	A	`conf`	FFL: Fine-grained Fault Localization for Student Programs via Syntactic and Semantic Reasoning. ICSME Thanh-Dat Nguyen, Thanh Le-Cong, Duc-Minh Luong, Van-Hai Duong, Xuan-Bach Dinh Le, David Lo, Quyet-Thang Huynh
2022	A	`conf`	HERMES: Using Commit-Issue Linking to Detect Vulnerability-Fixing Commits. SANER Giang Nguyen-Truong, Hong Jin Kang, David Lo, Abhishek Sharma, Andrew E. Santosa, Asankhaya Sharma, Ming Yi Ang
2022	J	`jnl`	How to Find Actionable Static Analysis Warnings. CoRR Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
2022	—	`conf`	How to better utilize code graphs in semantic code search? ESEC/SIGSOFT FSE Yucen Shi, Ying Yin, Zhengkui Wang, David Lo, Tao Zhang, Xin Xia, Yuhai Zhao, Bowen Xu
2022	J	`jnl`	I Know What You Are Searching For: Code Snippet Recommendation from Stack Overflow Posts. CoRR Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Xindong Zhang, Zhenchang Xing
2022	—	`conf`	ITSS: Interactive Web-Based Authoring and Playback Integrated Environment for Programming Tutorials. ICSE (SEET) Eng Lieh Ouh, Benjamin Kok Siew Gan, David Lo
2022	J	`jnl`	ITSS: Interactive Web-Based Authoring and Playback Integrated Environment for Programming Tutorials. CoRR Eng Lieh Ouh, Benjamin Kok Siew Gan, David Lo
2022	J	`jnl`	Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS. IEEE Trans. Software Eng. Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan
2022	J	`jnl`	Just-In-Time Defect Identification and Localization: A Two-Phase Framework. IEEE Trans. Software Eng. Meng Yan, Xin Xia, Yuanrui Fan, Ahmed E. Hassan, David Lo, Shanping Li
2022	J	`jnl`	Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study. ACM Trans. Softw. Eng. Methodol. Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan
2022	J	`jnl`	Legion: Massively Composing Rankers for Improved Bug Localization at Adobe. IEEE Trans. Software Eng. Darryl Jarman, Jeffrey Berry, Riley Smith, Ferdian Thung, David Lo
2022	J	`jnl`	Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
2022	J	`jnl`	Modeling Functional Similarity in Source Code With Graph-Based Siamese Networks. IEEE Trans. Software Eng. Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare
2022	A*	`conf`	Natural Attack for Pre-trained Models of Code. ICSE Zhou Yang, Jieke Shi, Junda He, David Lo
2022	J	`jnl`	Natural Attack for Pre-trained Models of Code. CoRR Zhou Yang, Jieke Shi, Junda He, David Lo
2022	J	`jnl`	On measuring network robustness for weighted networks. Knowl. Inf. Syst. Jianbing Zheng, Ming Gao, Ee-Peng Lim, David Lo, Cheqing Jin, Aoying Zhou
2022	J	`jnl`	On the Effectiveness of Pretrained Models for API Learning. CoRR Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Lingxiao Jiang, Fatemeh H. Fard, David Lo
2022	A	`conf`	On the Influence of Biases in Bug Localization: Evaluation and Benchmark. SANER Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, David Lo
2022	J	`jnl`	On the Reproducibility and Replicability of Deep Learning in Software Engineering. ACM Trans. Softw. Eng. Methodol. Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang
2022	J	`jnl`	On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages. CoRR Fuxiang Chen, Fatemeh H. Fard, David Lo, Timofey Bryksin
2022	A	`conf`	On the effectiveness of pretrained models for API learning. ICPC Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Lingxiao Jiang, Fatemeh H. Fard, David Lo
2022	A	`conf`	On the transferability of pre-trained language models for low-resource programming languages. ICPC Fuxiang Chen, Fatemeh H. Fard, David Lo, Timofey Bryksin
2022	J	`jnl`	Opportunities and Challenges in Code Search Tools. ACM Comput. Surv. Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy
2022	J	`jnl`	Orchestration or Automation: Authentication Flaw Detection in Android Apps. IEEE Trans. Dependable Secur. Comput. Siqi Ma, Juanru Li, Surya Nepal, Diethelm Ostry, David Lo, Sanjay K. Jha, Robert H. Deng, Elisa Bertino
2022	J	`jnl`	PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
2022	A	`conf`	PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. ICPC Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
2022	J	`jnl`	Post2Vec: Learning Distributed Representations of Stack Overflow Posts. IEEE Trans. Software Eng. Bowen Xu, Thong Hoang, Abhishek Sharma, Chengran Yang, Xin Xia, David Lo
2022	A*	`conf`	Practitioners' Expectations on Automated Code Comment Generation. ICSE Xing Hu, Xin Xia, David Lo, Zhiyuan Wan, Qiuyuan Chen, Thomas Zimmermann
2022	J	`jnl`	Predictive Models in Software Engineering: Challenges and Opportunities. ACM Trans. Softw. Eng. Methodol. Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang
2022	—	`conf`	ReSIL: Revivifying Function Signature Inference using Deep Learning with Domain-Specific Knowledge. CODASPY Yan Lin, Debin Gao, David Lo
2022	J	`jnl`	Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects. Empir. Softw. Eng. Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus Agus Haryono, Shaowei Wang, David Lo
2022	—	`conf`	RecipeGen++: an automated trigger action programs generator. ESEC/SIGSOFT FSE Imam Nur Bani Yusuf, Diyanah Binte Abdul Jamal, Lingxiao Jiang, David Lo
2022	A	`conf`	Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. SANER Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2022	J	`jnl`	Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. CoRR Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2022	J	`jnl`	Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction. IEEE Trans. Software Eng. Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu
2022	A*	`conf`	ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. ICSE Neng Zhang, Chao Liu, Xin Xia, Christoph Treude, Ying Zou, David Lo, Zibin Zheng
2022	A	`conf`	Simple or complex?: together for a more accurate just-in-time defect predictor. ICPC Xin Zhou, DongGyun Han, David Lo
2022	J	`jnl`	SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries. CoRR Hong Jin Kang, Pattarakrit Rattanukul, Stefanus Agus Haryono, Truong Giang Nguyen, Chaiyong Ragkhitwetsagul, Corina S. Pasareanu, David Lo
2022	A*	`conf`	Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. ICSE Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu
2022	J	`jnl`	Technical Q&A Site Answer Recommendation via Question Boosting. CoRR Zhipeng Gao, Xin Xia, David Lo, John C. Grundy
2022	A	`conf`	Test mimicry to assess the exploitability of library vulnerabilities. ISSTA Hong Jin Kang, Truong Giang Nguyen, Bach Le, Corina S. Pasareanu, David Lo
2022	—	`conf`	The best of both worlds: integrating semantic features with expert features for defect prediction and localization. ESEC/SIGSOFT FSE Chao Ni, Wei Wang, Kaiwen Yang, Xin Xia, Kui Liu, David Lo
2022	A*	`conf`	TransplantFix: Graph Differencing-based Code Transplantation for Automated Program Repair. ASE Deheng Yang, Xiaoguang Mao, Liqian Chen, Xuezheng Xu, Yan Lei, David Lo, Jiayu He
2022	J	`jnl`	Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu
2022	J	`jnl`	VulCurator: A Vulnerability-Fixing Commit Detector. CoRR Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Xuan-Bach Dinh Le, David Lo
2022	—	`conf`	VulCurator: a vulnerability-fixing commit detector. ESEC/SIGSOFT FSE Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Xuan-Bach Dinh Le, David Lo
2022	—	`conf`	What motivates software practitioners to contribute to inner source? ESEC/SIGSOFT FSE Zhiyuan Wan, Xin Xia, Yun Zhang, David Lo, Daibing Zhou, Qiuyuan Chen, Ahmed E. Hassan
2022	J	`jnl`	Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. ACM Trans. Softw. Eng. Methodol. Jiachi Chen, Xin Xia, David Lo, John C. Grundy
2022	A	`conf`	XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence. ICPC Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus A. Haryono, Yuan Tian, Hafil Noer Zachiary, David Lo
2022	J	`jnl`	iTiger: An Automatic Issue Title Generation Tool. CoRR Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang
2022	—	`conf`	iTiger: an automatic issue title generation tool. ESEC/SIGSOFT FSE Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, DongGyun Han, David Lo, Lingxiao Jiang
2021	A*	`conf`	A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. ICSE Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li
2021	J	`jnl`	A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms. CoRR Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Yuan Wang, Shanping Li
2021	A	`conf`	A First Look at Accessibility Issues in Popular GitHub Projects. ICSME Tingting Bi, Xin Xia, David Lo, Aldeida Aleti
2021	J	`jnl`	A Large Scale Study of Long-Time Contributor Prediction for GitHub Projects. IEEE Trans. Software Eng. Lingfeng Bao, Xin Xia, David Lo, Gail C. Murphy
2021	J	`jnl`	Accessibility in Software Practice: A Practitioner's Perspective. CoRR Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford
2021	J	`jnl`	Adversarial Specification Mining. CoRR Hong Jin Kang, David Lo
2021	J	`jnl`	Adversarial Specification Mining. ACM Trans. Softw. Eng. Methodol. Hong Jin Kang, David Lo
2021	—	`conf`	An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. ICSE (SEIP) Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia
2021	J	`jnl`	An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. CoRR Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia
2021	B	`conf`	An Exploratory Study of Social Support Systems to Help Older Adults in Managing Mobile Safety. MobileHCI Tamir Mendel, Debin Gao, David Lo, Eran Toch
2021	J	`jnl`	An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt. CoRR Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li
2021	J	`jnl`	An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow. CoRR Jiakun Liu, Haoxiang Zhang, Xin Xia, David Lo, Ying Zou, Ahmed E. Hassan, Shanping Li
2021	J	`jnl`	An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks. Empir. Softw. Eng. Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li
2021	—	`conf`	AndroEvolve: Automated Update for Android Deprecated-API Usages. ICSE (Companion Volume) Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller
2021	A	`conf`	Assessing Generalizability of CodeBERT. ICSME Xin Zhou, DongGyun Han, David Lo
2021	A*	`conf`	Automatic Solution Summarization for Crash Bugs. ICSE Haoye Wang, Xin Xia, David Lo, John C. Grundy, Xinyu Wang
2021	A*	`conf`	Automating Developer Chat Mining. ASE Shengyi Pan, Lingfeng Bao, Xiaoxue Ren, Xin Xia, David Lo, Shanping Li
2021	A*	`conf`	Automating User Notice Generation for Smart Contract Functions. ASE Xing Hu, Zhipeng Gao, Xin Xia, David Lo, Xiaohu Yang
2021	J	`jnl`	Automating the Removal of Obsolete TODO Comments. CoRR Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann
2021	—	`conf`	Automating the removal of obsolete TODO comments. ESEC/SIGSOFT FSE Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann
2021	J	`jnl`	BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. CoRR Muhammad Hilmi Asyrofi, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, Zhou Yang, David Lo
2021	A	`conf`	BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems. ICSME Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2021	J	`jnl`	BiasRV: Uncovering Biased Sentiment Predictions at Runtime. CoRR Zhou Yang, Muhammad Hilmi Asyrofi, David Lo
2021	—	`conf`	BiasRV: uncovering biased sentiment predictions at runtime. ESEC/SIGSOFT FSE Zhou Yang, Muhammad Hilmi Asyrofi, David Lo
2021	A	`conf`	Can Differential Testing Improve Automatic Speech Recognition Systems? ICSME Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, David Lo
2021	A	`conf`	Characterization and Automatic Updates of Deprecated Machine-Learning API Usages. ICSME Stefanus A. Haryono, Ferdian Thung, David Lo, Julia Lawall, Lingxiao Jiang
2021	A	`conf`	Characterization and Prediction of Questions without Accepted Answers on Stack Overflow. ICPC Mohamad Yazdaninia, David Lo, Ashkan Sami
2021	J	`jnl`	Characterization and Prediction of Questions without Accepted Answers on Stack Overflow. CoRR Mohamad Yazdaninia, David Lo, Ashkan Sami
2021	—	`conf`	Characterizing search activities on stack overflow. ESEC/SIGSOFT FSE Jiakun Liu, Sebastian Baltes, Christoph Treude, David Lo, Yun Zhang, Xin Xia
2021	J	`jnl`	Checking Smart Contracts With Structural Code Embedding. IEEE Trans. Software Eng. Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, John Grundy
2021	—	`conf`	Code2Que: a tool for improving question titles from mined code snippets in stack overflow. ESEC/SIGSOFT FSE Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li
2021	J	`jnl`	Context-aware Retrieval-based Deep Commit Message Generation. ACM Trans. Softw. Eng. Methodol. Haoye Wang, Xin Xia, David Lo, Qiang He, Xinyu Wang, John Grundy
2021	J	`jnl`	CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition. CoRR Muhammad Hilmi Asyrofi, Zhou Yang, David Lo
2021	—	`conf`	CrossASR++: a modular differential testing framework for automatic speech recognition. ESEC/SIGSOFT FSE Muhammad Hilmi Asyrofi, Zhou Yang, David Lo
2021	J	`jnl`	Deep Transfer Bug Localization. IEEE Trans. Software Eng. Xuan Huo, Ferdian Thung, Ming Li, David Lo, Shu-Ting Shi
2021	J	`jnl`	Deep-Learning-Based App Sensitive Behavior Surveillance for Android Powered Cyber-Physical Systems. IEEE Trans. Ind. Informatics Haoyu Ma, Jianwen Tian, Kefan Qiu, David Lo, Debin Gao, Daoyuan Wu, Chunfu Jia, Thar Baker
2021	A	`conf`	Disambiguating Mentions of API Methods in Stack Overflow via Type Scoping. ICSME Kien Luong, Ferdian Thung, David Lo
2021	J	`jnl`	Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. Inf. Softw. Technol. Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu
2021	C	`conf`	Empirical Evaluation of Minority Oversampling Techniques in the Context of Android Malware Detection. APSEC Lwin Khin Shar, Ta Nguyen Binh Duong, David Lo
2021	J	`jnl`	FACOS: Finding API Relevant Contents on Stack Overflow with Semantic and Syntactic Analysis. CoRR Kien Luong, Mohammad Abdul Hadi, Ferdian Thung, Fatemeh H. Fard, David Lo
2021	A*	`conf`	Finding A Needle in a Haystack: Automated Mining of Silent Vulnerability Fixes. ASE Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang, Ahmed E. Hassan
2021	J	`jnl`	HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. CoRR Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu
2021	A	`conf`	How Do Users Answer MATLAB Questions on Q&A Sites? A Case Study on Stack Overflow and MathWorks. SANER Mahshid Naghashzadeh, Amir Haghshenas, Ashkan Sami, David Lo
2021	J	`jnl`	How does Machine Learning Change Software Development Practices? IEEE Trans. Software Eng. Zhiyuan Wan, Xin Xia, David Lo, Gail C. Murphy
2021	A*	`conf`	IncBL: Incremental Bug Localization. ASE Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
2021	J	`jnl`	IncBL: Incremental Bug Localization. CoRR Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
2021	A	`conf`	IoTBox: Sandbox Mining to Prevent Interaction Threats in IoT Systems. ICST Hong Jin Kang, Sheng Qin Sim, David Lo
2021	A	`conf`	Is the Ground Truth Really Accurate? Dataset Purification for Automated Program Repair. SANER Deheng Yang, Yan Lei, Xiaoguang Mao, David Lo, Huan Xie, Meng Yan
2021	A	`conf`	MLCatchUp: Automated Update of Deprecated Machine-Learning APIs in Python. ICSME Stefanus A. Haryono, Ferdian Thung, David Lo, Julia Lawall, Lingxiao Jiang
2021	J	`jnl`	Maintenance-related concerns for post-deployed Ethereum smart contract development: issues, techniques, and future challenges. Empir. Softw. Eng. Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang
2021	J	`jnl`	Out of sight, out of mind? How vulnerable dependencies affect open-source projects. Empir. Softw. Eng. Gede Artha Azriadi Prana, Abhishek Sharma, Lwin Khin Shar, Darius Foo, Andrew E. Santosa, Asankhaya Sharma, David Lo
2021	A*	`conf`	PLP 2021: Workshop on Programming Language Processing. KDD Chang Xu, Siqi Ma, David Lo
2021	J	`jnl`	PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. IEEE Trans. Software Eng. Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo
2021	J	`jnl`	Scalable online vetting of Android apps for measuring declared SDK versions and their consistency with API calls. Empir. Softw. Eng. Daoyuan Wu, Debin Gao, David Lo
2021	J	`jnl`	Smart Contract Development: Challenges and Opportunities. IEEE Trans. Software Eng. Weiqin Zou, David Lo, Pavneet Singh Kochhar, Xuan-Bach Dinh Le, Xin Xia, Yang Feng, Zhenyu Chen, Baowen Xu
2021	—	`conf`	Smart Contract Security: A Practitioners' Perspective: The Artifact of a Paper Accepted in the 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021). ICSE (Companion Volume) Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang
2021	A*	`conf`	Smart Contract Security: a Practitioners' Perspective. ICSE Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang
2021	J	`jnl`	Smart Contract Security: a Practitioners' Perspective. CoRR Zhiyuan Wan, Xin Xia, David Lo, Jiachi Chen, Xiapu Luo, Xiaohu Yang
2021	—	`conf`	TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. WWW (Companion Volume) Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu
2021	J	`jnl`	TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release. CoRR Tianyi Yang, Cuiyun Gao, Jingya Zang, David Lo, Michael R. Lyu
2021	J	`jnl`	Technical Q8A Site Answer Recommendation via Question Boosting. ACM Trans. Softw. Eng. Methodol. Zhipeng Gao, Xin Xia, David Lo, John Grundy
2021	J	`jnl`	The Impact of Mislabeled Changes by SZZ on Just-in-Time Defect Prediction. IEEE Trans. Software Eng. Yuanrui Fan, Xin Xia, Daniel Alencar da Costa, David Lo, Ahmed E. Hassan, Shanping Li
2021	—	`conf`	Unveiling the Mystery of API Evolution in Deep Learning Frameworks: A Case Study of Tensorflow 2. ICSE (SEIP) Zejun Zhang, Yanming Yang, Xin Xia, David Lo, Xiaoxue Ren, John C. Grundy
2021	J	`jnl`	What makes a popular academic AI repository? Empir. Softw. Eng. Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li
2021	J	`jnl`	Where2Change: Change Request Localization for App Reviews. IEEE Trans. Software Eng. Tao Zhang, Jiachi Chen, Xian Zhan, Xiapu Luo, David Lo, He Jiang
2021	J	`jnl`	Which Variables Should I Log? IEEE Trans. Software Eng. Zhongxin Liu, Xin Xia, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li
2021	J	`jnl`	Why My Code Summarization Model Does Not Work: Code Comment Improvement with Category Prediction. ACM Trans. Softw. Eng. Methodol. Qiuyuan Chen, Xin Xia, Han Hu, David Lo, Shanping Li
2021	J	`jnl`	psc2code: Denoising Code Extraction from Programming Screencasts. CoRR Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, Xiaohu Yang
2020	—	`ed.`	35th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASE Workshops 2020, Melbourne, Australia, September 21-25, 2020. ASE Workshops John Grundy, Claire Le Goues, David Lo
2020	J	`jnl`	A Deep Dive on the Impact of COVID-19 in Software Development. CoRR Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida, Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed
2020	A	`conf`	A Machine Learning Approach for Vulnerability Curation. MSR Yang Chen, Andrew E. Santosa, Ming Yi Ang, Abhishek Sharma, Asankhaya Sharma, David Lo
2020	J	`jnl`	A Survey on Deep Learning for Software Engineering. CoRR Yanming Yang, Xin Xia, David Lo, John C. Grundy
2020	A	`conf`	AUSearch: Accurate API Usage Search in GitHub Repositories with Type Resolution. SANER Muhammad Hilmi Asyrofi, Ferdian Thung, David Lo, Lingxiao Jiang
2020	J	`jnl`	An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. CoRR Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu
2020	A	`conf`	An Empirical Study of the Dependency Networks of Deep Learning Libraries. ICSME Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia
2020	J	`jnl`	AndroEvolve: Automated Android API Update with Data Flow Analysis and Variable Denormalization. CoRR Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller
2020	J	`jnl`	AndroEvolve: Automated Update for Android Deprecated-API Usages. CoRR Stefanus Agus Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller
2020	A	`conf`	Automated Deprecated-API Usage Update for Android Apps: How Far are We? SANER Ferdian Thung, Stefanus A. Haryono, Lucas Serrano, Gilles Muller, Julia Lawall, David Lo, Lingxiao Jiang
2020	—	`conf`	Automated identification of libraries from vulnerability data. ICSE (SEIP) Yang Chen, Andrew E. Santosa, Asankhaya Sharma, David Lo
2020	A	`conf`	Automatic Android Deprecated-API Usage Update by Learning from Single Updated Example. ICPC Stefanus A. Haryono, Ferdian Thung, Hong Jin Kang, Lucas Serrano, Gilles Muller, Julia Lawall, David Lo, Lingxiao Jiang
2020	J	`jnl`	Automatic Android Deprecated-API Usage Update by Learning from Single Updated Example. CoRR Stefanus Agus Haryono, Ferdian Thung, Hong Jin Kang, Lucas Serrano, Gilles Muller, Julia Lawall, David Lo, Lingxiao Jiang
2020	J	`jnl`	Automating App Review Response Generation Based on Contextual Knowledge. CoRR Cuiyun Gao, Wenjie Zhou, Xin Xia, David Lo, Qi Xie, Michael R. Lyu
2020	J	`jnl`	Automating App Review Response Generation. CoRR Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King
2020	J	`jnl`	Automating Intention Mining. IEEE Trans. Software Eng. Qiao Huang, Xin Xia, David Lo, Gail C. Murphy
2020	J	`jnl`	Broken External Links on Stack Overflow. CoRR Jiakun Liu, Xin Xia, David Lo, Haoxiang Zhang, Ying Zou, Ahmed E. Hassan, Shanping Li
2020	—	`conf`	BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies. ESEC/SIGSOFT FSE Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh
2020	J	`jnl`	CC2Vec: Distributed Representations of Code Changes. CoRR Thong Hoang, Hong Jin Kang, Julia Lawall, David Lo
2020	A*	`conf`	CC2Vec: distributed representations of code changes. ICSE Thong Hoang, Hong Jin Kang, David Lo, Julia Lawall
2020	J	`jnl`	Chaff from the Wheat: Characterizing and Determining Valid Bug Reports. IEEE Trans. Software Eng. Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan
2020	J	`jnl`	Characterization and Automatic Update of Deprecated Machine-Learning API Usages. CoRR Stefanus Agus Haryono, Ferdian Thung, David Lo, Julia Lawall, Lingxiao Jiang
2020	J	`jnl`	Checking Smart Contracts with Structural Code Embedding. CoRR Zhipeng Gao, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy
2020	J	`jnl`	Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow. CoRR Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li
2020	A	`conf`	CrossASR: Efficient Differential Testing of Automatic Speech Recognition via Text-To-Speech. ICSME Muhammad Hilmi Asyrofi, Ferdian Thung, David Lo, Lingxiao Jiang
2020	C	`conf`	DCT: An Scalable Multi-Objective Module Clustering Tool. SCAM Ana Paula M. Tarchetti, Luis Henrique Vieira Amaral, Marcos César de Oliveira, Rodrigo Bonifácio, Gustavo Pinto, David Lo
2020	J	`jnl`	DEFECTCHECKER: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode. CoRR Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiapu Luo, Ting Chen
2020	J	`jnl`	Deep code comment generation with hybrid lexical and syntactical information. Empir. Softw. Eng. Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin
2020	—	`conf`	DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. ESEC/SIGSOFT FSE Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo
2020	A	`conf`	Distinguishing Similar Design Pattern Instances through Temporal Behavior Analysis. SANER Renhao Xiong, David Lo, Bixin Li
2020	J	`jnl`	Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience. CoRR Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu
2020	—	`conf`	Effort-aware just-in-time defect identification in practice: a case study at Alibaba. ESEC/SIGSOFT FSE Meng Yan, Xin Xia, Yuanrui Fan, David Lo, Ahmed E. Hassan, Xindong Zhang
2020	J	`jnl`	Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. CoRR Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu
2020	—	`conf`	Enhancing developer interactions with programming screencasts through accurate code extraction. ESEC/SIGSOFT FSE Lingfeng Bao, Shengyi Pan, Zhenchang Xing, Xin Xia, David Lo, Xiaohu Yang
2020	J	`jnl`	Generating Question Titles for Stack Overflow from Mined Code Snippets. CoRR Zhipeng Gao, Xin Xia, John C. Grundy, David Lo, Yuan-Fang Li
2020	J	`jnl`	Generating Question Titles for Stack Overflow from Mined Code Snippets. ACM Trans. Softw. Eng. Methodol. Zhipeng Gao, Xin Xia, John Grundy, David Lo, Yuan-Fang Li
2020	A	`conf`	How (Not) to Find Bugs: The Interplay Between Merge Conflicts, Co-Changes, and Bugs. ICSME Luis Henrique Vieira Amaral, Marcos César de Oliveira, Welder Pinheiro Luz, José Fortes Neto, Rodrigo Bonifácio, Daniel Alencar, Eduardo Monteiro, Gustavo Pinto, David Lo
2020	J	`jnl`	How Practitioners Perceive Automated Bug Report Management Techniques. IEEE Trans. Software Eng. Weiqin Zou, David Lo, Zhenyu Chen, Xin Xia, Yang Feng, Baowen Xu
2020	—	`ed.`	ISEC 2020: 13th Innovations in Software Engineering Conference, Jabalpur, India, February 27-29, 2020 ISEC Sanjeev Jain, Atul Gupta, David Lo, Diptikalyan Saha, Richa Sharma
2020	J	`jnl`	Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS. CoRR Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan
2020	—	`conf`	Is using deep learning frameworks free?: characterizing technical debt in deep learning frameworks. ICSE-SEIS Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li
2020	—	`conf`	JITO: a tool for just-in-time defect identification and localization. ESEC/SIGSOFT FSE Fangcheng Qiu, Meng Yan, Xin Xia, Xinyu Wang, Yuanrui Fan, Ahmed E. Hassan, David Lo
2020	A	`conf`	Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. UMAP Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo
2020	J	`jnl`	Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. CoRR Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo
2020	—	`ed.`	MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems, Seoul, Republic of Korea, July 13-15, 2020 MOBILESoft@ICSE David Lo, Leonardo Mariani, Ali Mesbah
2020	J	`jnl`	Maintaining Smart Contracts on Ethereum: Issues, Techniques, and Future Challenges. CoRR Jiachi Chen, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang
2020	J	`jnl`	Memory and resource leak defects and their repairs in Java projects. Empir. Softw. Eng. Mohammadreza Ghanavati, Diego Costa, Janos Seboek, David Lo, Artur Andrzejak
2020	C	`conf`	Mining and Predicting Micro-Process Patterns of Issue Resolution for Open Source Software Projects. SEKE Yiran Wang, Jian Cao, David Lo
2020	J	`jnl`	Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks. CoRR Nikita Mehrotra, Navdha Agarwal, Piyush Gupta, Saket Anand, David Lo, Rahul Purandare
2020	J	`jnl`	On the Replicability and Reproducibility of Deep Learning in Software Engineering. CoRR Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John C. Grundy, Xiaohu Yang
2020	J	`jnl`	Opportunities and Challenges in Code Search Tools. CoRR Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, John C. Grundy
2020	J	`jnl`	Perceptions, Expectations, and Challenges in Defect Prediction. IEEE Trans. Software Eng. Zhiyuan Wan, Xin Xia, Ahmed E. Hassan, David Lo, Jianwei Yin, Xiaohu Yang
2020	J	`jnl`	Predictive Models in Software Engineering: Challenges and Opportunities. CoRR Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang
2020	B	`conf`	Prevalence, Contents and Automatic Detection of KL-SATD. SEAA Leevi Rantala, Mika Mäntylä, David Lo
2020	J	`jnl`	Prevalence, Contents and Automatic Detection of KL-SATD. CoRR Leevi Rantala, Mika Mäntylä, David Lo
2020	J	`jnl`	SIEVE: Helping developers sift wheat from chaff via cross-platform analysis. Empir. Softw. Eng. Agus Sulistya, Gede Artha Azriadi Prana, Abhishek Sharma, David Lo, Christoph Treude
2020	—	`conf`	SPINFER: Inferring Semantic Patches for the Linux Kernel. USENIX ATC Lucas Serrano, Van-Anh Nguyen, Ferdian Thung, Lingxiao Jiang, David Lo, Julia Lawall, Gilles Muller
2020	A	`conf`	Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go? ICSME Ting Zhang, Bowen Xu, Ferdian Thung, Stefanus Agus Haryono, David Lo, Lingxiao Jiang
2020	C	`conf`	Sentiment Analysis over Collaborative Relationships in Open Source Software Projects. SEKE Lingjia Li, Jian Cao, David Lo
2020	J	`jnl`	Simplifying Deep-Learning-Based Model for Code Search. CoRR Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li
2020	J	`jnl`	Smart Contract Repair. ACM Trans. Softw. Eng. Methodol. Xiao Liang Yu, Omar I. Al-Bataineh, David Lo, Abhik Roychoudhury
2020	C	`conf`	SmartFuzz: An Automated Smart Fuzzing Approach for Testing SmartThings Apps. APSEC Lwin Khin Shar, Ta Nguyen Binh Duong, Lingxiao Jiang, David Lo, Wei Minn, Glenn Kiah Yong Yeo, Eugene Kim
2020	J	`jnl`	The Java Pathfinder Workshop 2019. ACM SIGSOFT Softw. Eng. Notes Cyrille Artho, Quoc-Sang Phan, Peter Aldous, Alyas Almaawi, Lucas Bang, Lasse Berglund, Tevfik Bultan, Zhenbang Chen, Hayes Converse, Wei Dong, William Eiers, Milos Gligoric, Simon Goldsmith, Lars Grunske, Joshua Hooker, Ismet Burak Kadron, Timo Kehrer, Sarfraz Khurshid, Xuan-Bach Dinh Le, David Lo, Eric Mercer, Sasa Misailovic, Egor Namakonov, Hoang Lam Nguyen, Yannic Noller, Benjamin Ogles, Rohan Padhye, Pavel Parízek, Corina S. Pasareanu, Sheridan Jacob Powell, Seemanta Saha, Koushik Sen, Elena Sherman, Kyle Storey, Minxing Tang, Willem Visser, Ji Wang, Hengbiao Yu
2020	J	`jnl`	What Makes a Popular Academic AI Repository? CoRR Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li
2020	J	`jnl`	Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. CoRR Jiachi Chen, Xin Xia, David Lo, John C. Grundy
2020	J	`jnl`	Why reinventing the wheels? An empirical study on library reuse and re-implementation. Empir. Softw. Eng. Bowen Xu, Le An, Ferdian Thung, Foutse Khomh, David Lo
2020	J	`jnl`	psc2code: Denoising Code Extraction from Programming Screencasts. ACM Trans. Softw. Eng. Methodol. Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, Xiaohu Yang
2019	A	`ed.`	26th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2019, Hangzhou, China, February 24-27, 2019 SANER Xinyu Wang, David Lo, Emad Shihab
2019	J	`jnl`	A first look at unfollowing behavior on GitHub. Inf. Softw. Technol. Jing Jiang, David Lo, Yun Yang, Jianfeng Li, Li Zhang
2019	J	`jnl`	An evaluation of pure spectrum-based fault localization techniques for large-scale software systems. Softw. Pract. Exp. Simon Heiden, Lars Grunske, Timo Kehrer, Fabian Keller, André van Hoorn, Antonio Filieri, David Lo
2019	J	`jnl`	Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development. CoRR Abhishek Sharma, Gede Artha Azriadi Prana, Anamika Sawhney, Nachiappan Nagappan, David Lo
2019	—	`conf`	AnswerBot: an answer summary generation tool based on stack overflow. ESEC/SIGSOFT FSE Liang Cai, Haoye Wang, Bowen Xu, Qiao Huang, Xin Xia, David Lo, Zhenchang Xing
2019	J	`jnl`	AppMoD: Helping Older Adults Manage Mobile Security with Online Social Help. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Zhiyuan Wan, Lingfeng Bao, Debin Gao, Eran Toch, Xin Xia, Tamir Mendel, David Lo
2019	A*	`conf`	Assessing the Generalizability of Code2vec Token Embeddings. ASE Hong Jin Kang, Tegawendé F. Bissyandé, David Lo
2019	A*	`conf`	Automatic Code Review by Learning the Revision of Source Code. AAAI Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo
2019	A*	`conf`	Automatic Generation of Pull Request Descriptions. ASE Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li
2019	J	`jnl`	Automatic Generation of Pull Request Descriptions. CoRR Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li
2019	J	`jnl`	Automatic query reformulation for code search using crowdsourced knowledge. Empir. Softw. Eng. Mohammad Masudur Rahman, Chanchal K. Roy, David Lo
2019	J	`jnl`	Automatic, highly accurate app permission recommendation. Autom. Softw. Eng. Zhongxin Liu, Xin Xia, David Lo, John C. Grundy
2019	A*	`conf`	Automating App Review Response Generation. ASE Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King
2019	J	`jnl`	Automating Change-Level Self-Admitted Technical Debt Determination. IEEE Trans. Software Eng. Meng Yan, Xin Xia, Emad Shihab, David Lo, Jianwei Yin, Xiaohu Yang
2019	—	`conf`	BIKER: a tool for Bi-information source based API method recommendation. ESEC/SIGSOFT FSE Liang Cai, Haoye Wang, Qiao Huang, Xin Xia, Zhenchang Xing, David Lo
2019	J	`jnl`	Categorizing the Content of GitHub README Files. Empir. Softw. Eng. Gede Artha Azriadi Prana, Christoph Treude, Ferdian Thung, Thushari Atapattu, David Lo
2019	J	`jnl`	Characterizing and identifying reverted commits. Empir. Softw. Eng. Meng Yan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li
2019	A	`conf`	DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction. MSR Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi
2019	—	`conf`	DeepReview: Automatic Code Review Using Deep Multi-instance Learning. PAKDD (2) Heng-Yi Li, Shu-Ting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, David Lo
2019	J	`jnl`	Domain Specific Code Smells in Smart Contracts. CoRR Jiachi Chen, Xin Xia, David Lo, John Grundy, Daniel Xiapu Luo, Ting Chen
2019	—	`conf`	Emerging app issue identification from user feedback: experience on WeChat. ICSE (SEIP) Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King
2019	J	`jnl`	Finding needles in a haystack: Leveraging co-change dependencies to recommend refactorings. J. Syst. Softw. Marcos César de Oliveira, Davi Freitas, Rodrigo Bonifácio, Gustavo Pinto, David Lo
2019	J	`jnl`	Guest Editorial: Special Issue on Software Engineering for Mobile Applications. Empir. Softw. Eng. Sebastiano Panichella, Fabio Palomba, David Lo, Meiyappan Nagappan
2019	A*	`conf`	How practitioners perceive coding proficiency. ICSE Xin Xia, Zhiyuan Wan, Pavneet Singh Kochhar, David Lo
2019	—	`conf`	InSPeCT: Iterated Local Search for Solving Path Conditions. CASE Fuxiang Chen, Aldy Gunawan, David Lo, Sunghun Kim
2019	A	`conf`	Message from the General Chair, Program Co-Chairs, and Local Chair. SANER Xinyu Wang, David Lo, Emad Shihab, Xin Xia
2019	J	`jnl`	Network-Clustered Multi-Modal Bug Localization. IEEE Trans. Software Eng. Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo
2019	J	`jnl`	Neural Network-based Detection of Self-Admitted Technical Debt: From Performance to Explainability. ACM Trans. Softw. Eng. Methodol. Xiaoxue Ren, Zhenchang Xing, Xin Xia, David Lo, Xinyu Wang, John Grundy
2019	A*	`conf`	On reliability of patch correctness assessment. ICSE Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li, Corina S. Pasareanu
2019	J	`jnl`	PatchNet: A Tool for Deep Patch Classification. CoRR Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo
2019	J	`jnl`	PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel. CoRR Thong Hoang, Julia Lawall, Yuan Tian, Richard Jayadi Oentaryo, David Lo
2019	—	`conf`	PatchNet: a tool for deep patch classification. ICSE (Companion Volume) Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo
2019	J	`jnl`	Practical and effective sandboxing for Linux containers. Empir. Softw. Eng. Zhiyuan Wan, David Lo, Xin Xia, Liang Cai
2019	—	`conf`	Practitioners' views on good software testing practices. ICSE (SEIP) Pavneet Singh Kochhar, Xin Xia, David Lo
2019	J	`jnl`	Preface to the Special Issue on Program Comprehension. Empir. Softw. Eng. David Lo, Alexander Serebrenik
2019	J	`jnl`	Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models. CoRR Amirreza Shirani, Bowen Xu, David Lo, Thamar Solorio, Amin Alipour
2019	J	`jnl`	Recommending New Features from Mobile App Descriptions. ACM Trans. Softw. Eng. Methodol. He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo, Xindong Wu, Zhongxuan Luo
2019	J	`jnl`	Revisiting supervised and unsupervised models for effort-aware just-in-time defect prediction. Empir. Softw. Eng. Qiao Huang, Xin Xia, David Lo
2019	J	`jnl`	Saffron: Adaptive Grammar-based Fuzzing for Worst-Case Analysis. ACM SIGSOFT Softw. Eng. Notes Xuan-Bach Dinh Le, Corina S. Pasareanu, Rohan Padhye, David Lo, Willem Visser, Koushik Sen
2019	J	`jnl`	Scalable Online Vetting of Android Apps for Measuring Declared SDK Versions and Their Consistency with API Calls. CoRR Daoyuan Wu, Debin Gao, David Lo
2019	J	`jnl`	Semantic Patches for Java Program Transformation (Artifact). Dagstuhl Artifacts Ser. Hong Jin Kang, Ferdian Thung, Julia Lawall, Gilles Muller, Lingxiao Jiang, David Lo
2019	A	`conf`	Semantic Patches for Java Program Transformation (Experience Report). ECOOP Hong Jin Kang, Ferdian Thung, Julia Lawall, Gilles Muller, Lingxiao Jiang, David Lo
2019	J	`jnl`	Smart Contract Repair. CoRR Xiao Liang Yu, Omar I. Al-Bataineh, David Lo, Abhik Roychoudhury
2019	A	`conf`	SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding. ICSME Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy
2019	J	`jnl`	SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding. CoRR Zhipeng Gao, Vinoj Jayasundara, Lingxiao Jiang, Xin Xia, David Lo, John C. Grundy
2019	A*	`conf`	Statistical Log Differencing. ASE Lingfeng Bao, Nimrod Busany, David Lo, Shahar Maoz
2019	J	`jnl`	To the Attention of Mobile Software Developers: Guess What, Test your App! CoRR Luis Cruz, Rui Abreu, David Lo
2019	J	`jnl`	To the attention of mobile software developers: guess what, test your app! Empir. Softw. Eng. Luis Cruz, Rui Abreu, David Lo
2019	A	`conf`	Towards Generating Transformation Rules without Examples for Android API Replacement. ICSME Ferdian Thung, Hong Jin Kang, Lingxiao Jiang, David Lo
2019	J	`jnl`	TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing. CoRR Vinoj Jayasundara, Nghi Duy Quoc Bui, Lingxiao Jiang, David Lo
2019	J	`jnl`	VT-Revolution: Interactive Programming Video Tutorial Authoring and Watching System. IEEE Trans. Software Eng. Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo
2019	J	`jnl`	Watch out for this commit! A study of influential software changes. J. Softw. Evol. Process. Daoyuan Li, Li Li, Dongsun Kim, Tegawendé F. Bissyandé, David Lo, Yves Le Traon
2019	J	`jnl`	Who should make decision on this pull request? Analyzing time-decaying relationships and file similarities for integrator prediction. J. Syst. Softw. Jing Jiang, David Lo, Jiateng Zheng, Xin Xia, Yun Yang, Li Zhang
2019	J	`jnl`	Why is my code change abandoned? Inf. Softw. Technol. Qingye Wang, Xin Xia, David Lo, Shanping Li
2018	A*	`conf`	API method recommendation without worrying about the task-API knowledge gap. ASE Qiao Huang, Xin Xia, Zhenchang Xing, David Lo, Xinyu Wang
2018	A	`conf`	Analyzing requirements and traceability information to improve bug localization. MSR Michael Rath, David Lo, Patrick Mäder
2018	A*	`conf`	Augmenting and structuring user queries to support efficient free-form code search. ICSE Raphael Sirres, Tegawendé F. Bissyandé, Dongsun Kim, David Lo, Jacques Klein, Kisub Kim, Yves Le Traon
2018	J	`jnl`	Augmenting and structuring user queries to support efficient free-form code search. Empir. Softw. Eng. Raphael Sirres, Tegawendé F. Bissyandé, Dongsun Kim, David Lo, Jacques Klein, Kisub Kim, Yves Le Traon
2018	J	`jnl`	Categorizing the Content of GitHub README Files. CoRR Gede Artha Azriadi Prana, Christoph Treude, Ferdian Thung, Thushari Atapattu, David Lo
2018	—	`conf`	Characterizing Common and Domain-Specific Package Bugs: A Case Study on Ubuntu. COMPSAC (1) Xiaoxue Ren, Qiao Huang, Xin Xia, Zhenchang Xing, Lingfeng Bao, David Lo
2018	—	`ch.`	Collaboration Patterns in Software Developer Network. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Didi Surian, David Lo, Ee-Peng Lim
2018	J	`jnl`	Combined classifier for cross-project defect prediction: an extended empirical study. Frontiers Comput. Sci. Yun Zhang, David Lo, Xin Xia, Jianling Sun
2018	—	`conf`	DSM: a specification mining tool using recurrent neural network based language model. ESEC/SIGSOFT FSE Tien-Duy B. Le, Lingfeng Bao, David Lo
2018	A	`conf`	Deep code comment generation. ICPC Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin
2018	A	`conf`	Deep specification mining. ISSTA Tien-Duy B. Le, David Lo
2018	J	`jnl`	Domain-specific cross-language relevant question retrieval. Empir. Softw. Eng. Bowen Xu, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
2018	J	`jnl`	Early prediction of merged code changes to prioritize reviewing tasks. Empir. Softw. Eng. Yuanrui Fan, Xin Xia, David Lo, Shanping Li
2018	J	`jnl`	EnTagRec ++: An enhanced tag recommendation system for software information sites. Empir. Softw. Eng. Shaowei Wang, David Lo, Bogdan Vasilescu, Alexander Serebrenik
2018	J	`jnl`	Fusing multi-abstraction vector space models for concern localization. Empir. Softw. Eng. Yun Zhang, David Lo, Xin Xia, Giuseppe Scanniello, Tien-Duy B. Le, Jianling Sun
2018	—	`conf`	INFAR: insight extraction from app reviews. ESEC/SIGSOFT FSE Cuiyun Gao, Jichuan Zeng, David Lo, Chin-Yew Lin, Michael R. Lyu, Irwin King
2018	J	`jnl`	Identifying self-admitted technical debt in open source projects using text mining. Empir. Softw. Eng. Qiao Huang, Emad Shihab, Xin Xia, David Lo, Shanping Li
2018	J	`jnl`	Improving reusability of software libraries through usage pattern mining. J. Syst. Softw. Mohamed Aymen Saied, Ali Ouni, Houari A. Sahraoui, Raula Gaikovina Kula, Katsuro Inoue, David Lo
2018	A*	`conf`	Inference of development activities from interaction with uninstrumented applications. ICSE Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan
2018	J	`jnl`	Inference of development activities from interaction with uninstrumented applications. Empir. Softw. Eng. Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Ahmed E. Hassan
2018	J	`jnl`	Measuring Program Comprehension: A Large-Scale Field Study with Professionals. IEEE Trans. Software Eng. Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li
2018	A*	`conf`	Measuring program comprehension: a large-scale field study with professionals. ICSE Xin Xia, Lingfeng Bao, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li
2018	J	`jnl`	Memory and Resource Leak Defects and their Repairs in Java Projects. CoRR Mohammadreza Ghanavati, Diego Costa, Janos Seboek, David Lo, Artur Andrzejak
2018	A	`conf`	Mining sandboxes: Are we there yet? SANER Lingfeng Bao, Tien-Duy B. Le, David Lo
2018	—	`book`	Network Data Mining and Analysis Ming Gao, Ee-Peng Lim, David Lo
2018	J	`jnl`	Network-Clustered Multi-Modal Bug Localization. CoRR Thong Hoang, Richard Jayadi Oentaryo, Tien-Duy B. Le, David Lo
2018	A*	`conf`	Neural-machine-translation-based commit message generation: how far are we? ASE Zhongxin Liu, Xin Xia, Ahmed E. Hassan, David Lo, Zhenchang Xing, Xinyu Wang
2018	J	`jnl`	On Reliability of Patch Correctness Assessment. CoRR Xuan-Bach Dinh Le, Lingfeng Bao, David Lo, Xin Xia, Shanping Li
2018	A*	`conf`	Overfitting in semantics-based automated program repair. ICSE Xuan-Bach Dinh Le, Ferdian Thung, David Lo, Claire Le Goues
2018	J	`jnl`	Overfitting in semantics-based automated program repair. Empir. Softw. Eng. Xuan-Bach Dinh Le, Ferdian Thung, David Lo, Claire Le Goues
2018	A*	`conf`	PerfLearner: learning from bug reports to understand and generate performance test frames. ASE Xue Han, Tingting Yu, David Lo
2018	A	`conf`	Prediction of relatedness in stack overflow: deep learning vs. SVM: a reproducibility study. ESEM Bowen Xu, Amirreza Shirani, David Lo, Mohammad Amin Alipour
2018	—	`ed.`	Proceedings of the 7th International Workshop on Software Mining, SoftwareMining@ASE 2018, Montpellier, France, September 3, 2018 SoftwareMining@ASE Ming Li, Xiaoyin Wang, David Lo
2018	J	`jnl`	RACK: Automatic API Recommendation using Crowdsourced Knowledge. CoRR Mohammad Masudur Rahman, Chanchal K. Roy, David Lo
2018	J	`jnl`	RACK: Code Search in the IDE using Crowdsourced Knowledge. CoRR Mohammad Masudur Rahman, Chanchal K. Roy, David Lo
2018	J	`jnl`	Recommending Who to Follow in the Software Engineering Twitter Space. ACM Trans. Softw. Eng. Methodol. Abhishek Sharma, Yuan Tian, Agus Sulistya, Dinusha Wijedasa, David Lo
2018	A	`conf`	Recommending frequently encountered bugs. ICPC Yun Zhang, David Lo, Xin Xia, Jing Jiang, Jianling Sun
2018	J	`jnl`	Rule-based specification mining leveraging learning to rank. Autom. Softw. Eng. Zherui Cao, Yuan Tian, Tien-Duy B. Le, David Lo
2018	—	`conf`	SATD detector: a text-mining-based self-admitted technical debt detection tool. ICSE (Companion Volume) Zhongxin Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li
2018	J	`jnl`	SIEVE: Helping Developers Sift Wheat from Chaff via Cross-Platform Analysis. CoRR Agus Sulistya, Gede Artha Azriadi Prana, Abhishek Sharma, David Lo, Christoph Treude
2018	—	`ch.`	Social Collaborative Media in Software Development. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Didi Surian, David Lo
2018	A*	`conf`	Summarizing Source Code with Transferred API Knowledge. IJCAI Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
2018	B	`conf`	Towards Mining Comprehensive Android Sandboxes. ICECCS Tien-Duy B. Le, Lingfeng Bao, David Lo, Debin Gao, Li Li
2018	—	`conf`	Using finite-state models for log differencing. ESEC/SIGSOFT FSE Hen Amar, Lingfeng Bao, Nimrod Busany, David Lo, Shahar Maoz
2018	—	`conf`	VT-revolution: interactive programming tutorials made possible. ESEC/SIGSOFT FSE Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
2018	—	`conf`	Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites. WebSci Roy Ka-Wei Lee, David Lo
2018	J	`jnl`	Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites. CoRR Roy Ka-Wei Lee, David Lo
2017	C	`conf`	A Critical Evaluation of Spectrum-Based Fault Localization Techniques on a Large-Scale Software System. QRS Fabian Keller, Lars Grunske, Simon Heiden, Antonio Filieri, André van Hoorn, David Lo
2017	J	`jnl`	A More Accurate Model for Finding Tutorial Segments Explaining APIs. CoRR He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo
2017	A*	`conf`	APIBot: question answering bot for API documentation. ASE Yuan Tian, Ferdian Thung, Abhishek Sharma, David Lo
2017	A	`conf`	An Exploratory Study of Functionality and Learning Resources of Web APIs on ProgrammableWeb. EASE Yuan Tian, Pavneet Singh Kochhar, David Lo
2017	J	`jnl`	An effective change recommendation approach for supplementary bug fixes. Autom. Softw. Eng. Xin Xia, David Lo
2017	A*	`conf`	AnswerBot: automated generation of answer summary to developersź technical questions. ASE Bowen Xu, Zhenchang Xing, Xin Xia, David Lo
2017	J	`jnl`	Automated Android application permission recommendation. Sci. China Inf. Sci. Lingfeng Bao, David Lo, Xin Xia, Shanping Li
2017	—	`conf`	Automatically Locating Malicious Packages in Piggybacked Android Apps. MOBILESoft@ICSE Li Li, Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Haipeng Cai, David Lo, Yves Le Traon
2017	A	`conf`	Bug characteristics in blockchain systems: a large-scale empirical study. MSR Zhiyuan Wan, David Lo, Xin Xia, Liang Cai
2017	A	`conf`	Cataloging GitHub Repositories. EASE Abhishek Sharma, Ferdian Thung, Pavneet Singh Kochhar, Agus Sulistya, David Lo
2017	J	`jnl`	Characterizing malicious Android apps by mining topic-specific data flow signatures. Inf. Softw. Technol. Xinli Yang, David Lo, Li Li, Xin Xia, Tegawendé F. Bissyandé, Jacques Klein
2017	J	`jnl`	Clustering Classes in Packages for Program Comprehension. Sci. Program. Xiaobing Sun, Xiangyue Liu, Bin Li, Bixin Li, David Lo, Lingzhi Liao
2017	J	`jnl`	Code Coverage and Postrelease Defects: A Large-Scale Study on Open Source Projects. IEEE Trans. Reliab. Pavneet Singh Kochhar, David Lo, Julia Lawall, Nachiappan Nagappan
2017	A	`conf`	Detecting similar repositories on GitHub. SANER Yun Zhang, David Lo, Pavneet Singh Kochhar, Xin Xia, Quanlai Li, Jianling Sun
2017	B	`conf`	Empirical Study of Usage and Performance of Java Collections. ICPE Diego Costa, Artur Andrzejak, Janos Seboek, David Lo
2017	A	`conf`	File-Level Defect Prediction: Unsupervised vs. Supervised Models. ESEM Meng Yan, Yicheng Fang, David Lo, Xin Xia, Xiaohong Zhang
2017	—	`conf`	GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms. SocInfo (2) Roy Ka-Wei Lee, David Lo
2017	J	`jnl`	GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms. CoRR Roy Ka-Wei Lee, David Lo
2017	J	`jnl`	Guest editor's introduction to the Special Issue on Source Code Analysis and Manipulation (SCAM 2015). J. Softw. Evol. Process. Foutse Khomh, David Lo, Michael W. Godfrey
2017	A	`conf`	Harnessing Twitter to support serendipitous learning of developers. SANER Abhishek Sharma, Yuan Tian, Agus Sulistya, David Lo, Aiko Fallas Yamashita
2017	J	`jnl`	High-Impact Bug Report Identification with Imbalanced Learning Strategies. J. Comput. Sci. Technol. Xinli Yang, David Lo, Xin Xia, Qiao Huang, Jian-Ling Sun
2017	J	`jnl`	Improving Automated Bug Triaging with Specialized Topic Model. IEEE Trans. Software Eng. Xin Xia, David Lo, Ying Ding, Jafar M. Al-Kofahi, Tien N. Nguyen, Xinyu Wang
2017	—	`conf`	Inferring Spread of Readers' Emotion Affected by Online News. SocInfo (1) Agus Sulistya, Ferdian Thung, David Lo
2017	A	`conf`	JFIX: semantics-based repair of Java programs via symbolic PathFinder. ISSTA Xuan-Bach Dinh Le, Duc-Hiep Chu, David Lo, Claire Le Goues, Willem Visser
2017	—	`conf`	Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps. WASA Daoyuan Wu, Ximing Liu, Jiayun Xu, David Lo, Debin Gao
2017	J	`jnl`	Measuring the Declared SDK Versions and Their Consistency with API Calls in Android Apps. CoRR Daoyuan Wu, Ximing Liu, Jiayun Xu, David Lo, Debin Gao
2017	A	`conf`	Mining Sandboxes for Linux Containers. ICST Zhiyuan Wan, David Lo, Xin Xia, Liang Cai, Shanping Li
2017	J	`jnl`	Mining Sandboxes for Linux Containers. CoRR Zhiyuan Wan, David Lo, Xin Xia, Liang Cai, Shanping Li
2017	J	`jnl`	On Locating Malicious Code in Piggybacked Android Apps. J. Comput. Sci. Technol. Li Li, Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Haipeng Cai, David Lo, Yves Le Traon
2017	A	`conf`	Personality and Project Success: Insights from a Large-Scale Study with Professionals. ICSME Xin Xia, David Lo, Lingfeng Bao, Abhishek Sharma, Shanping Li
2017	A	`ed.`	Proceedings of the 25th International Conference on Program Comprehension, ICPC 2017, Buenos Aires, Argentina, May 22-23, 2017 ICPC Giuseppe Scanniello, David Lo, Alexander Serebrenik
2017	—	`conf`	RACK: code search in the IDE using crowdsourced knowledge. ICSE (Companion Volume) Mohammad Masudur Rahman, Chanchal Kumar Roy, David Lo
2017	A	`conf`	Revisiting Assert Use in GitHub Projects. EASE Pavneet Singh Kochhar, David Lo
2017	—	`conf`	S3: syntax- and semantic-guided repair synthesis via programming by examples. ESEC/SIGSOFT FSE Xuan-Bach Dinh Le, Duc-Hiep Chu, David Lo, Claire Le Goues, Willem Visser
2017	A	`conf`	Supervised vs Unsupervised Models: A Holistic Look at Effort-Aware Just-in-Time Defect Prediction. ICSME Qiao Huang, Xin Xia, David Lo
2017	J	`jnl`	TLEL: A two-layer ensemble learning approach for just-in-time defect prediction. Inf. Softw. Technol. Xinli Yang, David Lo, Xin Xia, Jianling Sun
2017	A	`conf`	The Impact of Coverage on Bug Density in a Large Industrial Software Project. ESEM Thomas Bach, Artur Andrzejak, Ralf Pannemans, David Lo
2017	J	`jnl`	Understanding Android App Piggybacking: A Systematic Study of Malicious Code Grafting. IEEE Trans. Inf. Forensics Secur. Li Li, Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon, David Lo, Lorenzo Cavallaro
2017	—	`conf`	Understanding Android app piggybacking. ICSE (Companion Volume) Li Li, Daoyuan Li, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon, David Lo, Lorenzo Cavallaro
2017	J	`jnl`	Understanding inactive yet available assignees in GitHub. Inf. Softw. Technol. Jing Jiang, David Lo, Xinyu Ma, Fuli Feng, Li Zhang
2017	—	`conf`	VuRLE: Automatic Vulnerability Detection and Repair by Learning from Examples. ESORICS (2) Siqi Ma, Ferdian Thung, David Lo, Cong Sun, Robert H. Deng
2017	J	`jnl`	WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking. CoRR Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian
2017	J	`jnl`	WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking. IEEE Trans. Emerg. Top. Comput. Intell. Ferdian Thung, Richard Jayadi Oentaryo, David Lo, Yuan Tian
2017	J	`jnl`	What do developers search for on the web? Empir. Softw. Eng. Xin Xia, Lingfeng Bao, David Lo, Pavneet Singh Kochhar, Ahmed E. Hassan, Zhenchang Xing
2017	A	`conf`	Which Packages Would be Affected by This Bug Report? ISSRE Qiao Huang, David Lo, Xin Xia, Qingye Wang, Shanping Li
2017	A	`conf`	Who will leave the company?: a large-scale industry study of developer turnover by mining monthly work report. MSR Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
2017	J	`jnl`	Why and how developers fork what from whom in GitHub. Empir. Softw. Eng. Jing Jiang, David Lo, Jia-Huan He, Xin Xia, Pavneet Singh Kochhar, Li Zhang
2017	J	`jnl`	Will this localization tool be effective for this bug? Mitigating the impact of unreliability of information retrieval based bug localization tools. Empir. Softw. Eng. Tien-Duy B. Le, Ferdian Thung, David Lo
2017	—	`conf`	XSearch: a domain-specific cross-language relevant question retrieval tool. ESEC/SIGSOFT FSE Bowen Xu, Zhenchang Xing, Xin Xia, David Lo, Xuan-Bach Dinh Le
2016	A	`conf`	"Automated Debugging Considered Harmful" Considered Harmful: A User Study Revisiting the Usefulness of Spectra-Based Fault Localization Techniques with Professionals Using Real Bugs from Large Systems. ICSME Xin Xia, Lingfeng Bao, David Lo, Shanping Li
2016	A	`conf`	A Large Scale Study of Multiple Programming Languages and Code Quality. SANER Pavneet Singh Kochhar, Dinusha Wijedasa, David Lo
2016	A	`conf`	A More Accurate Model for Finding Tutorial Segments Explaining APIs. SANER He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo
2016	A	`conf`	A deeper look into bug fixes: patterns, replacements, deletions, and additions. MSR Mauricio Soto, Ferdian Thung, Chu-Pan Wong, Claire Le Goues, David Lo
2016	A	`conf`	A learning-to-rank based fault localization approach using likely invariants. ISSTA Tien-Duy B. Le, David Lo, Claire Le Goues, Lars Grunske
2016	J	`jnl`	AmaLgam+: Composing Rich Information Sources for Accurate Bug Localization. J. Softw. Evol. Process. Shaowei Wang, David Lo
2016	J	`jnl`	AutoQuery: automatic construction of dependency queries for code search. Autom. Softw. Eng. Shaowei Wang, David Lo, Lingxiao Jiang
2016	J	`jnl`	Automated Bug Report Field Reassignment and Refinement Prediction. IEEE Trans. Reliab. Xin Xia, David Lo, Emad Shihab, Xinyu Wang
2016	B	`conf`	Automated Identification of High Impact Bug Reports Leveraging Imbalanced Learning Strategies. COMPSAC Xinli Yang, David Lo, Qiao Huang, Xin Xia, Jianling Sun
2016	J	`jnl`	Automated Inference of Software Library Usage Patterns. CoRR Mohamed Aymen Saied, Ali Ouni, Houari A. Sahraoui, Raula Gaikovina Kula, Katsuro Inoue, David Lo
2016	A	`conf`	CDRep: Automatic Repair of Cryptographic Misuses in Android Applications. AsiaCCS Siqi Ma, David Lo, Teng Li, Robert H. Deng
2016	J	`jnl`	CareerMapper: An Automated Resume Evaluation Tool. CoRR Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo
2016	—	`conf`	CareerMapper: An automated resume evaluation tool. IEEE BigData Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo
2016	J	`jnl`	Code Comment Quality Analysis and Improvement Recommendation: An Automated Approach. Int. J. Softw. Eng. Knowl. Eng. Xiaobing Sun, Qiang Geng, David Lo, Yucong Duan, Xiangyue Liu, Bin Li
2016	J	`jnl`	Collaborative 'many to many' DDoS detection in cloud. Int. J. Ad Hoc Ubiquitous Comput. Siqi Ma, David Lo, Ning Xi
2016	J	`jnl`	Collective Personalized Change Classification With Multiobjective Search. IEEE Trans. Reliab. Xin Xia, David Lo, Xinyu Wang, Xiaohu Yang
2016	J	`jnl`	Collective Semi-Supervised Learning for User Profiling in Social Media. CoRR Richard Jayadi Oentaryo, Ee-Peng Lim, Freddy Chong Tat Chua, Jia-Wei Low, David Lo
2016	A	`conf`	Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports. ISSRE Xinli Yang, David Lo, Xin Xia, Lingfeng Bao, Jianling Sun
2016	B	`conf`	Condensing Class Diagrams With Minimal Manual Labeling Cost. COMPSAC Xinli Yang, David Lo, Xin Xia, Jianling Sun
2016	J	`jnl`	Diversity maximization speedup for localizing faults in single-fault and multi-fault programs. Autom. Softw. Eng. Xin Xia, Liang Gong, Tien-Duy B. Le, David Lo, Lingxiao Jiang, Hongyu Zhang
2016	A	`conf`	Domain-specific cross-language relevant question retrieval. MSR Bowen Xu, Zhenchang Xing, Xin Xia, David Lo, Qingye Wang, Shanping Li
2016	A	`conf`	Empirical Study on Synthesis Engines for Semantics-Based Program Repair. ICSME Xuan-Bach Dinh Le, David Lo, Claire Le Goues
2016	A	`conf`	Enhancing Automated Program Repair with Deductive Verification. ICSME Xuan-Bach Dinh Le, Quang Loc Le, David Lo, Claire Le Goues
2016	J	`jnl`	HYDRA: Massively Compositional Model for Cross-Project Defect Prediction. IEEE Trans. Software Eng. Xin Xia, David Lo, Sinno Jialin Pan, Nachiappan Nagappan, Xinyu Wang
2016	A	`conf`	History Driven Program Repair. SANER Xuan-Bach Dinh Le, David Lo, Claire Le Goues
2016	A	`conf`	How Practitioners Perceive the Relevance of ESEM Research. ESEM Jeffrey C. Carver, Oscar Dieste, Nicholas A. Kraft, David Lo, Thomas Zimmermann
2016	A	`conf`	How android app developers manage power consumption?: an empirical study by mining power management commits. MSR Lingfeng Bao, David Lo, Xin Xia, Xinyu Wang, Cong Tian
2016	A	`conf`	Inferring Links between Concerns and Methods with Multi-abstraction Vector Space Model. ICSME Yun Zhang, David Lo, Xin Xia, Tien-Duy B. Le, Giuseppe Scanniello, Jianling Sun
2016	B	`conf`	It Takes Two to Tango: Deleted Stack Overflow Question Prediction with Text and Meta Features. COMPSAC Xin Xia, David Lo, Denzil Correa, Ashish Sureka, Emad Shihab
2016	A	`conf`	Learning to rank for bug report assignee recommendation. ICPC Yuan Tian, Dinusha Wijedasa, David Lo, Claire Le Goues
2016	A	`conf`	ORPLocator: Identifying Read Points of Configuration Options via Static Analysis. ISSRE Zhen Dong, Artur Andrzejak, David Lo, Diego Costa
2016	J	`jnl`	On detecting maximal quasi antagonistic communities in signed graphs. Data Min. Knowl. Discov. Ming Gao, Ee-Peng Lim, David Lo, Philips Kokoh Prasetyo
2016	J	`jnl`	On the unreliability of bug severity data. Empir. Softw. Eng. Yuan Tian, Nasir Ali, David Lo, Ahmed E. Hassan
2016	A	`conf`	Practitioners' expectations on automated fault localization. ISSTA Pavneet Singh Kochhar, Xin Xia, David Lo, Shanping Li
2016	A	`conf`	Predicting Crashing Releases of Mobile Applications. ESEM Xin Xia, Emad Shihab, Yasutaka Kamei, David Lo, Xinyu Wang
2016	—	`ed.`	Proceedings of the 2nd International Workshop on Software Analytics, SWAN@SIGSOFT FSE 2016, Seattle, WA, USA, November 13, 2016 SWAN@SIGSOFT FSE Olga Baysal, Jacek Czerwonka, Latifa Guerrouj, David Lo, Brendan Murphy
2016	A*	`ed.`	Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, ASE 2016, Singapore, September 3-7, 2016 ASE David Lo, Sven Apel, Sarfraz Khurshid
2016	A	`conf`	RACK: Automatic API Recommendation Using Crowdsourced Knowledge. SANER Mohammad Masudur Rahman, Chanchal Kumar Roy, David Lo
2016	A	`conf`	Recommending Code Changes for Automatic Backporting of Linux Device Drivers. ICSME Ferdian Thung, Xuan-Bach Dinh Le, David Lo, Julia Lawall
2016	C	`conf`	Semi-automated Tool for Providing Effective Feedback on Programming Assignments. ICCE Min Yan Beh, Swapna Gottipati, David Lo, Venky Shankararaman
2016	—	`conf`	Software analytics: challenges and opportunities. ICSE (Companion Volume) Latifa Guerrouj, Olga Baysal, David Lo, Foutse Khomh
2016	—	`conf`	Spiteful, One-Off, and Kind: Predicting Customer Feedback Behavior on Twitter. SocInfo (2) Agus Sulistya, Abhishek Sharma, David Lo
2016	J	`jnl`	Watch out for This Commit! A Study of Influential Software Changes. CoRR Daoyuan Li, Li Li, Dongsun Kim, Tegawendé F. Bissyandé, David Lo, Yves Le Traon
2016	—	`conf`	What Permissions Should This Android App Request? SATE Lingfeng Bao, David Lo, Xin Xia, Shanping Li
2016	J	`jnl`	What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts. J. Comput. Sci. Technol. Xinli Yang, David Lo, Xin Xia, Zhiyuan Wan, Jian-Ling Sun
2015	C	`ed.`	15th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2015, Bremen, Germany, September 27-28, 2015 SCAM Michael W. Godfrey, David Lo, Foutse Khomh
2015	A	`conf`	A comparative study on the effectiveness of part-of-speech tagging techniques on bug reports. SANER Yuan Tian, David Lo
2015	B	`conf`	Active Semi-supervised Approach for Checking App Behavior against Its Description. COMPSAC Siqi Ma, Shaowei Wang, David Lo, Robert Huijie Deng, Cong Sun
2015	A	`conf`	Active semi-supervised defect categorization. ICPC Ferdian Thung, Xuan-Bach Dinh Le, David Lo
2015	B	`conf`	An Empirical Study of Bug Fixing Rate. COMPSAC Weiqin Zou, Xin Xia, Weiqiang Zhang, Zhenyu Chen, David Lo
2015	B	`conf`	An Empirical Study of Classifier Combination for Cross-Project Defect Prediction. COMPSAC Yun Zhang, David Lo, Xin Xia, Jianling Sun
2015	A	`conf`	An empirical assessment of Bellon's clone benchmark. EASE Alan Charpentier, Jean-Rémy Falleri, David Lo, Laurent Réveillère
2015	J	`jnl`	Automated prediction of bug report priority using multi-factor analysis. Empir. Softw. Eng. Yuan Tian, David Lo, Xin Xia, Chengnian Sun
2015	J	`jnl`	Automatic, high accuracy prediction of reopened bugs. Autom. Softw. Eng. Xin Xia, David Lo, Emad Shihab, Xinyu Wang, Bo Zhou
2015	A	`conf`	Beyond support and confidence: Exploring interestingness measures for rule-based specification mining. SANER Tien-Duy B. Le, David Lo
2015	A*	`conf`	CNL: Collective Network Linkage Across Heterogeneous Social Platforms. ICDM Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou
2015	A	`conf`	Code coverage and test suite effectiveness: Empirical study with real bugs in large systems. SANER Pavneet Singh Kochhar, Ferdian Thung, David Lo
2015	B	`conf`	Combining Software Metrics and Text Features for Vulnerable File Prediction. ICECCS Yun Zhang, David Lo, Xin Xia, Bowen Xu, Jianling Sun, Shanping Li
2015	A	`conf`	Constrained feature selection for localizing faults. ICSME Tien-Duy B. Le, David Lo, Ming Li
2015	A	`conf`	Cross-project build co-change prediction. SANER Xin Xia, David Lo, Shane McIntosh, Emad Shihab, Ahmed E. Hassan
2015	A	`conf`	Customer satisfaction feedback in an IT outsourcing company: a case study on the insigma Hengtian company. EASE Xin Xia, David Lo, Jingfan Tang, Shanping Li
2015	C	`conf`	Deep Learning for Just-in-Time Defect Prediction. QRS Xinli Yang, David Lo, Xin Xia, Yun Zhang, Jianling Sun
2015	J	`jnl`	Dual analysis for recommending developers to resolve bugs. J. Softw. Evol. Process. Xin Xia, David Lo, Xinyu Wang, Bo Zhou
2015	C	`conf`	EFSPredictor: Predicting Configuration Bugs with Ensemble Feature Selection. APSEC Bowen Xu, David Lo, Xin Xia, Ashish Sureka, Shanping Li
2015	J	`jnl`	ELBlocker: Predicting blocking bugs with ensemble imbalance learning. Inf. Softw. Technol. Xin Xia, David Lo, Emad Shihab, Xinyu Wang, Xiaohu Yang
2015	Misc	`conf`	Evaluating defect prediction approaches using a massive set of metrics: an empirical study. SAC Xiao Xuan, David Lo, Xin Xia, Yuan Tian
2015	A	`conf`	Experience report: An industrial experience report on test outsourcing practices. ISSRE Xin Xia, David Lo, Pavneet Singh Kochhar, Zhenchang Xing, Xinyu Wang, Shanping Li
2015	—	`conf`	How practitioners perceive the relevance of software engineering research. ESEC/SIGSOFT FSE David Lo, Nachiappan Nagappan, Thomas Zimmermann
2015	J	`jnl`	Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013]. ACM SIGSOFT Softw. Eng. Notes Ming Li, Hongyu Zhang, David Lo, Lucia
2015	—	`conf`	Information retrieval and spectrum based bug localization: better together. ESEC/SIGSOFT FSE Tien-Duy B. Le, Richard Jayadi Oentaryo, David Lo
2015	A	`conf`	Modeling the evolution of development topics using Dynamic Topic Models. SANER Jiajun Hu, Xiaobing Sun, David Lo, Bin Li
2015	J	`jnl`	Multi-Factor Duplicate Question Detection in Stack Overflow. J. Comput. Sci. Technol. Yun Zhang, David Lo, Xin Xia, Jianling Sun
2015	A	`conf`	NIRMAL: Automatic identification of software relevant tweets leveraging language model. SANER Abhishek Sharma, Yuan Tian, David Lo
2015	J	`jnl`	On the usefulness of ownership metrics in open-source software projects. Inf. Softw. Technol. Matthieu Foucault, Cédric Teyton, David Lo, Xavier Blanc, Jean-Rémy Falleri
2015	A	`conf`	Query expansion via WordNet for effective code search. SANER Meili Lu, Xiaobing Sun, Shaowei Wang, David Lo, Yucong Duan
2015	A	`conf`	RCLinker: automated linking of issue reports and commits leveraging rich contextual information. ICPC Tien-Duy B. Le, Mario Linares Vásquez, David Lo, Denys Poshyvanyk
2015	—	`ch.`	Scalable Parallelization of Specification Mining Using Distributed Computing. The Art and Science of Analyzing Software Data Shaowei Wang, David Lo, Lingxiao Jiang, Shahar Maoz, Aditya Budi
2015	J	`jnl`	Should I follow this fault localization tool's output? - Automated prediction of fault localization effectiveness. Empir. Softw. Eng. Tien-Duy B. Le, David Lo, Ferdian Thung
2015	A	`conf`	Should fixing these failures be delegated to automated program repair? ISSRE Xuan-Bach Dinh Le, Tien-Duy B. Le, David Lo
2015	A*	`conf`	Synergizing Specification Miners through Model Fissions and Fusions (T). ASE Tien-Duy B. Le, Xuan-Bach Dinh Le, David Lo, Ivan Beschastnikh
2015	J	`jnl`	TagCombine: Recommending Tags to Contents in Software Information Sites. J. Comput. Sci. Technol. Xinyu Wang, Xin Xia, David Lo
2015	J	`jnl`	To what extent could we detect field defects? An extended empirical study of false negatives in static bug-finding tools. Autom. Softw. Eng. Ferdian Thung, Lucia, David Lo, Lingxiao Jiang, Foyzur Rahman, Premkumar T. Devanbu
2015	A	`conf`	Understanding the Test Automation Culture of App Developers. ICST Pavneet Singh Kochhar, Ferdian Thung, Nachiappan Nagappan, Thomas Zimmermann, David Lo
2015	A	`conf`	What are the characteristics of high-rated apps? A case study on free Android Applications. ICSME Yuan Tian, Meiyappan Nagappan, David Lo, Ahmed E. Hassan
2015	A	`conf`	What's hot in software engineering Twitter space? ICSME Abhishek Sharma, Yuan Tian, David Lo
2015	A	`conf`	Who should review this change?: Putting text and file location analyses together for more accurate recommendations. ICSME Xin Xia, David Lo, Xinyu Wang, Xiaohu Yang
2014	A*	`conf`	Active code search: incorporating user feedback to improve code search relevance. ASE Shaowei Wang, David Lo, Lingxiao Jiang
2014	J	`jnl`	An Empirical Study of Bugs in Software Build System. IEICE Trans. Inf. Syst. Xin Xia, Xiaozhen Zhou, David Lo, Xiaoqiong Zhao, Ye Wang
2014	—	`conf`	An Empirical Study on the Adequacy of Testing in Open Source Projects. APSEC (1) Pavneet Singh Kochhar, Ferdian Thung, David Lo, Julia Lawall
2014	—	`conf`	An Exploratory Study on Software Microblogger Behaviors. MUD@ICSME Yuan Tian, David Lo
2014	—	`conf`	An empirical study of bug report field reassignment. CSMR-WCRE Xin Xia, David Lo, Ming Wen, Emad Shihab, Bo Zhou
2014	Misc	`conf`	An empirical study of bugs in build process. SAC Xiaoqiong Zhao, Xin Xia, Pavneet Singh Kochhar, David Lo, Shanping Li
2014	B	`conf`	Automated Configuration Bug Report Prediction Using Text Mining. COMPSAC Xin Xia, David Lo, Weiwei Qiu, Xingen Wang, Bo Zhou
2014	—	`conf`	Automated construction of a software-specific word similarity database. CSMR-WCRE Yuan Tian, David Lo, Julia Lawall
2014	B	`conf`	Automatic Defect Categorization Based on Fault Triggering Conditions. ICECCS Xin Xia, David Lo, Xinyu Wang, Bo Zhou
2014	B	`conf`	Automatic Fine-Grained Issue Report Reclassification. ICECCS Pavneet Singh Kochhar, Ferdian Thung, David Lo
2014	—	`conf`	BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques. ICSE Companion Xinyu Wang, David Lo, Xin Xia, Xingen Wang, Pavneet Singh Kochhar, Yuan Tian, Xiaohu Yang, Shanping Li, Jianling Sun, Bo Zhou
2014	—	`conf`	BugLocalizer: integrated tool support for bug localization. SIGSOFT FSE Ferdian Thung, Tien-Duy B. Le, Pavneet Singh Kochhar, David Lo
2014	B	`conf`	Build Predictor: More Accurate Missed Dependency Prediction in Build Configuration Files. COMPSAC Bo Zhou, Xin Xia, David Lo, Xinyu Wang
2014	Misc	`conf`	Build system analysis with link prediction. SAC Xin Xia, David Lo, Xinyu Wang, Bo Zhou
2014	—	`ch.`	Collaboration Patterns in Software Developer Network. Encyclopedia of Social Network Analysis and Mining Didi Surian, David Lo, Ee-Peng Lim
2014	A	`conf`	Compositional Vector Space Models for Improved Bug Localization. ICSME Shaowei Wang, David Lo, Julia Lawall
2014	A	`conf`	Condensing class diagrams by analyzing design and network metrics using optimistic classification. ICPC Ferdian Thung, David Lo, Mohd Hafeez Osman, Michel R. V. Chaudron
2014	A	`conf`	Cross-language bug localization. ICPC Xin Xia, David Lo, Xingen Wang, Chenyi Zhang, Xinyu Wang
2014	J	`jnl`	Detecting click fraud in online advertising: a data mining approach. J. Mach. Learn. Res. Richard Jayadi Oentaryo, Ee-Peng Lim, Michael Finegold, David Lo, Feida Zhu, Clifton Phua, Eng-Yeow Cheu, Ghim-Eng Yap, Kelvin Sim, Minh Nhut Nguyen, Kasun S. Perera, Bijay Neupane, Mustafa Amir Faisal, Zeyar Aung, Wei Lee Woon, Wei Chen, Dhaval Patel, Daniel Berrar
2014	A*	`conf`	DupFinder: integrated tool support for duplicate bug report detection. ASE Ferdian Thung, Pavneet Singh Kochhar, David Lo
2014	A	`conf`	Dynamic Inference of Change Contracts. ICSME Tien-Duy B. Le, Jooyong Yi, David Lo, Ferdian Thung, Abhik Roychoudhury
2014	A	`conf`	EnTagRec: An Enhanced Tag Recommendation System for Software Information Sites. ICSME Shaowei Wang, David Lo, Bogdan Vasilescu, Alexander Serebrenik
2014	J	`jnl`	Extended comprehensive study of association measures for fault localization. J. Softw. Evol. Process. Lucia, David Lo, Lingxiao Jiang, Ferdian Thung, Aditya Budi
2014	A*	`conf`	Fusion fault localizers. ASE Lucia, David Lo, Xin Xia
2014	A	`conf`	It's not a bug, it's a feature: does misclassification affect bug localization? MSR Pavneet Singh Kochhar, Tien-Duy B. Le, David Lo
2014	J	`jnl`	Leveraging machine learning and information retrieval techniques in software evolution tasks: summary of the first MALIR-SE workshop, at ASE 2013. ACM SIGSOFT Softw. Eng. Notes Lucia, David Lo, Giuseppe Scanniello, Alessandro Marchetto, Nasir Ali, Collin McMillan
2014	—	`ch.`	LeveragingWeb 2.0 for software evolution. Evolving Software Systems Yuan Tian, David Lo
2014	A	`conf`	On Finding the Point Where There Is No Return: Turning Point Mining on Game Data. SDM Wei Gong, Ee-Peng Lim, Feida Zhu, Palakorn Achananuparp, David Lo
2014	A*	`conf`	Potential biases in bug localization: do they matter? ASE Pavneet Singh Kochhar, Yuan Tian, David Lo
2014	A	`conf`	Predicting Effectiveness of IR-Based Bug Localization Techniques. ISSRE Tien-Duy B. Le, Ferdian Thung, David Lo
2014	A	`conf`	Predicting response in mobile advertising with hierarchical importance-aware factorization machine. WSDM Richard Jayadi Oentaryo, Ee-Peng Lim, Jia-Wei Low, David Lo, Michael Finegold
2014	—	`conf`	SEWordSim: software-specific word similarity database. ICSE Companion Yuan Tian, David Lo, Julia Lawall
2014	A	`conf`	Towards more accurate content categorization of API discussions. ICPC Bo Zhou, Xin Xia, David Lo, Cong Tian, Xinyu Wang
2014	—	`conf`	Towards more accurate multi-label software behavior learning. CSMR-WCRE Xin Xia, Yang Feng, David Lo, Zhenyu Chen, Xinyu Wang
2014	A	`conf`	Version history, similar report, and structure: putting them together for improved bug localization. ICPC Shaowei Wang, David Lo
2013	—	`conf`	A Comparative Study of Supervised Learning Algorithms for Re-opened Bug Prediction. CSMR Xin Xia, David Lo, Xinyu Wang, Xiaohu Yang, Shanping Li, Jianling Sun
2013	—	`conf`	Accurate developer recommendation for bug resolution. WCRE Xin Xia, David Lo, Xinyu Wang, Bo Zhou
2013	—	`conf`	Adoption of Software Testing in Open Source Projects-A Preliminary Study on 50, 000 Projects. CSMR Pavneet Singh Kochhar, Tegawendé F. Bissyandé, David Lo, Lingxiao Jiang
2013	—	`conf`	An Empirical Study of Adoption of Software Testing in Open Source Projects. QSIC Pavneet Singh Kochhar, Tegawendé F. Bissyandé, David Lo, Lingxiao Jiang
2013	—	`conf`	An Empirical Study of Bugs in Software Build Systems. QSIC Xin Xia, Xiaozhen Zhou, David Lo, Xiaoqiong Zhao
2013	Misc	`conf`	An empirical study on developer interactions in StackOverflow. SAC Shaowei Wang, David Lo, Lingxiao Jiang
2013	—	`conf`	Automated library recommendation. WCRE Ferdian Thung, David Lo, Julia Lawall
2013	A*	`conf`	Automatic recommendation of API methods from feature requests. ASE Ferdian Thung, Shaowei Wang, David Lo, Julia Lawall
2013	—	`conf`	Automatic recovery of root causes from bug-fixing changes. WCRE Ferdian Thung, David Lo, Lingxiao Jiang
2013	J	`jnl`	Clustering of search trajectory and its application to parameter tuning. J. Oper. Res. Soc. Lindawati, Hoong Chuin Lau, David Lo
2013	—	`conf`	DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis. ICSM Yuan Tian, David Lo, Chengnian Sun
2013	—	`conf`	Empirical Evaluation of Bug Linking. CSMR Tegawendé F. Bissyandé, Ferdian Thung, Shaowei Wang, David Lo, Lingxiao Jiang, Laurent Réveillère
2013	—	`conf`	F-Trail: Finding Patterns in Taxi Trajectories. PAKDD (1) Yasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos
2013	A	`conf`	Got issues? Who cares about it? A large scale investigation of issue trackers from GitHub. ISSRE Tegawendé F. Bissyandé, David Lo, Lingxiao Jiang, Laurent Réveillère, Jacques Klein, Yves Le Traon
2013	—	`conf`	Hierarchical Parallel Algorithm for Modularity-Based Community Detection Using GPUs. Euro-Par Chun Yew Cheong, Huynh Phung Huynh, David Lo, Rick Siow Mong Goh
2013	A*	`conf`	Mining branching-time scenarios. ASE Dirk Fahland, David Lo, Shahar Maoz
2013	J	`jnl`	Mining direct antagonistic communities in signed social networks. Inf. Process. Manag. David Lo, Didi Surian, Philips Kokoh Prasetyo, Kuan Zhang, Ee-Peng Lim
2013	J	`jnl`	Mining indirect antagonistic communities from social interactions. Knowl. Inf. Syst. Kuan Zhang, David Lo, Ee-Peng Lim, Philips Kokoh Prasetyo
2013	—	`conf`	Multi-abstraction Concern Localization. ICSM Tien-Duy B. Le, Shaowei Wang, David Lo
2013	—	`conf`	Network Structure of Social Coding in GitHub. CSMR Ferdian Thung, Tegawendé F. Bissyandé, David Lo, Lingxiao Jiang
2013	B	`conf`	Orion: A Software Project Search Engine with Integrated Diverse Software Artifacts. ICECCS Tegawendé F. Bissyandé, Ferdian Thung, David Lo, Lingxiao Jiang, Laurent Réveillère
2013	B	`conf`	Popularity, Interoperability, and Impact of Programming Languages in 100, 000 Open Source Projects. COMPSAC Tegawendé F. Bissyandé, Ferdian Thung, David Lo, Lingxiao Jiang, Laurent Réveillère
2013	—	`conf`	Predicting Best Answerers for New Questions: An Approach Leveraging Topic Modeling and Collaborative Voting. SocInfo Workshops Yuan Tian, Pavneet Singh Kochhar, Ee-Peng Lim, Feida Zhu, David Lo
2013	—	`conf`	Predicting Project Outcome Leveraging Socio-Technical Network Patterns. CSMR Didi Surian, Yuan Tian, David Lo, Hong Cheng, Ee-Peng Lim
2013	A	`conf`	Reviving Dormant Ties in an Online Social Network Experiment. ICWSM Ee-Peng Lim, Denzil Correa, David Lo, Michael Finegold, Feida Zhu
2013	B	`conf`	Software Internationalization and Localization: An Industrial Experience. ICECCS Xin Xia, David Lo, Feng Zhu, Xinyu Wang, Bo Zhou
2013	A	`conf`	Tag recommendation in software information sites. MSR Xin Xia, David Lo, Xinyu Wang, Bo Zhou
2013	—	`conf`	Theory and Practice, Do They Match? A Case with Spectrum-Based Fault Localization. ICSM Tien-Duy B. Le, Ferdian Thung, David Lo
2013	—	`conf`	Understanding Widespread Changes: A Taxonomic Study. CSMR Shaowei Wang, David Lo, Lingxiao Jiang
2013	—	`conf`	Understanding the genetic makeup of Linux device drivers. PLOS@SOSP Peter Senna Tschudin, Laurent Réveillère, Lingxiao Jiang, David Lo, Julia Lawall, Gilles Muller
2013	—	`conf`	Will Fault Localization Work for These Failures? An Automated Approach to Predict Effectiveness of Fault Localization Tools. ICSM Tien-Duy B. Le, David Lo
2012	A*	`conf`	Active refinement of clone anomaly reports. ICSE Lucia, David Lo, Lingxiao Jiang, Aditya Budi
2012	A	`conf`	An Empirical Study of Bugs in Machine Learning Systems. ISSRE Ferdian Thung, Shaowei Wang, David Lo, Lingxiao Jiang
2012	A	`conf`	Are faults localizable? MSR Lucia, Ferdian Thung, David Lo, Lingxiao Jiang
2012	—	`conf`	Automatic Defect Categorization. WCRE Ferdian Thung, David Lo, Lingxiao Jiang
2012	—	`conf`	Automatic classification of software related microblogs. ICSM Philips Kokoh Prasetyo, David Lo, Palakorn Achananuparp, Yuan Tian, Ee-Peng Lim
2012	B	`conf`	Collective Churn Prediction in Social Network. ASONAM Richard Jayadi Oentaryo, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo
2012	—	`conf`	Detecting similar applications with collaborative tagging. ICSM Ferdian Thung, David Lo, Lingxiao Jiang
2012	C	`conf`	Diffusion of Software Features: An Exploratory Study. APSEC Ferdian Thung, David Lo, Lingxiao Jiang
2012	A*	`conf`	Diversity maximization speedup for fault localization. ASE Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang
2012	A*	`conf`	Duplicate bug report detection with a combination of information retrieval and topic modeling. ASE Anh Tuan Nguyen, Tung Thanh Nguyen, Tien N. Nguyen, David Lo, Chengnian Sun
2012	—	`conf`	HuMan: Creating memorable fingerprints of mobile users. PerCom Workshops Payas Gupta, Tan Kiat Wee, Narayan Ramasubbu, David Lo, Debin Gao, Rajesh Krishna Balan
2012	A*	`conf`	Identifying Linux bug fixing patches. ICSE Yuan Tian, Julia Lawall, David Lo
2012	—	`conf`	Improved Duplicate Bug Report Identification. CSMR Yuan Tian, Chengnian Sun, David Lo
2012	—	`conf`	In-game action list segmentation and labeling in real-time strategy games. CIG Wei Gong, Ee-Peng Lim, Palakorn Achananuparp, Feida Zhu, David Lo, Freddy Chong Tat Chua
2012	A*	`conf`	Inferring class level specifications for distributed systems. ICSE Sandeep Kumar, Siau-Cheng Khoo, Abhik Roychoudhury, David Lo
2012	—	`conf`	Inferring semantically related software terms and their taxonomy by leveraging collaborative tagging. ICSM Shaowei Wang, David Lo, Lingxiao Jiang
2012	—	`conf`	Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction. WCRE Yuan Tian, David Lo, Chengnian Sun
2012	—	`conf`	Interactive fault localization leveraging simple user feedback. ICSM Liang Gong, David Lo, Lingxiao Jiang, Hongyu Zhang
2012	J	`jnl`	Learning extended FSA from software: An empirical assessment. J. Syst. Softw. David Lo, Leonardo Mariani, Mauro Santoro
2012	J	`jnl`	Mining quantified temporal rules: Formalism, algorithms, and evaluation. Sci. Comput. Program. David Lo, G. Ramalingam, Venkatesh Prasad Ranganath, Kapil Vaswani
2012	A*	`conf`	Observatory of trends in software related microblogs. ASE Palakorn Achananuparp, Ibrahim Nelman Lubis, Yuan Tian, David Lo, Ee-Peng Lim
2012	A*	`conf`	Rethinking DRAM Power Modes for Energy Proportionality. MICRO Krishna T. Malladi, Ian Shaeffer, Liji Gopalakrishnan, David Lo, Benjamin C. Lee, Mark Horowitz
2012	J	`jnl`	Scenario-based and value-based specification mining: better together. Autom. Softw. Eng. David Lo, Shahar Maoz
2012	—	`conf`	Searching connected API subgraph via text phrases. SIGSOFT FSE Wing-Kwan Chan, Hong Cheng, David Lo
2012	A*	`conf`	Semantic patch inference. ASE Jesper Andersen, Anh Cuong Nguyen, David Lo, Julia L. Lawall, Siau-Cheng Khoo
2012	A*	`conf`	To what extent could we detect field defects? an empirical study of false negatives in static bug finding tools. ASE Ferdian Thung, Lucia, David Lo, Lingxiao Jiang, Foyzur Rahman, Premkumar T. Devanbu
2012	A*	`conf`	Understanding task-driven information flow in collaborative networks. WWW Gengxin Miao, Shu Tao, Winnie Cheng, Randy Moulic, Louise E. Moser, David Lo, Xifeng Yan
2012	A	`conf`	What does software engineering community microblog about? MSR Yuan Tian, Palakorn Achananuparp, Ibrahim Nelman Lubis, David Lo, Ee-Peng Lim
2012	—	`conf`	When would this bug get reported? ICSM Ferdian Thung, David Lo, Lingxiao Jiang, Lucia, Foyzur Rahman, Premkumar T. Devanbu
2012	A*	`conf`	Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports. ICSE Jian Zhou, Hongyu Zhang, David Lo
2012	A*	`conf`	kbe-anonymity: test data anonymization for evolving programs. ASE Lucia, David Lo, Lingxiao Jiang, Aditya Budi
2011	C	`conf`	Automated Detection of Likely Design Flaws in N-Tier Architectures. SEKE Aditya Budi, Lucia, David Lo, Lingxiao Jiang, Shaowei Wang
2011	A*	`conf`	Bidirectional mining of non-redundant recurrent rules from a sequence database. ICDE David Lo, Bolin Ding, Lucia, Jiawei Han
2011	—	`conf`	Bug Signature Minimization and Fusion. HASE David Lo, Hong Cheng, Xiaoyin Wang
2011	—	`conf`	Code Search via Topic-Enriched Dependence Graph Matching. WCRE Shaowei Wang, David Lo, Lingxiao Jiang
2011	—	`conf`	Concern Localization using Information Retrieval: An Empirical Study on Linux Kernel. WCRE Shaowei Wang, David Lo, Zhenchang Xing, Lingxiao Jiang
2011	A*	`conf`	Finding relevant answers in software forums. ASE Swapna Gottipati, David Lo, Jing Jiang
2011	—	`conf`	Instance-Based Parameter Tuning via Search Trajectory Similarity Clustering. LION Lindawati, Hoong Chuin Lau, David Lo
2011	J	`jnl`	Mining Iterative Generators and Representative Rules for Software Specification Discovery. IEEE Trans. Knowl. Data Eng. David Lo, Jinyan Li, Limsoon Wong, Siau-Cheng Khoo
2011	J	`jnl`	Mining Top-K Large Structural Patterns in a Massive Network. Proc. VLDB Endow. Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu
2011	B	`conf`	Mining closed discriminative dyadic sequential patterns. EDBT David Lo, Hong Cheng, Lucia
2011	A	`conf`	Mining direct antagonistic communities in explicit trust networks. CIKM David Lo, Didi Surian, Kuan Zhang, Ee-Peng Lim
2011	A*	`conf`	Mining message sequence graphs. ICSE Sandeep Kumar, Siau-Cheng Khoo, Abhik Roychoudhury, David Lo
2011	B	`conf`	NORT: Runtime Anomaly-Based Monitoring of Malicious Behavior for Windows. RV Narcisa Andreea Milea, Siau-Cheng Khoo, David Lo, Cristian Pop
2011	—	`conf`	Recommending People in Developers' Collaboration Network. WCRE Didi Surian, Nian Liu, David Lo, Hanghang Tong, Ee-Peng Lim, Christos Faloutsos
2011	A*	`conf`	Search-based fault localization. ASE Shaowei Wang, David Lo, Lingxiao Jiang, Lucia, Hoong Chuin Lau
2011	B	`conf`	Towards Succinctness in Mining Scenario-Based Specifications. ICECCS David Lo, Shahar Maoz
2011	A*	`conf`	Towards more accurate retrieval of duplicate bug reports. ASE Chengnian Sun, David Lo, Siau-Cheng Khoo, Jing Jiang
2010	—	`conf`	A discriminative model approach for accurate duplicate bug report retrieval. ICSE (1) Chengnian Sun, David Lo, Xiaoyin Wang, Jing Jiang, Siau-Cheng Khoo
2010	A*	`conf`	An automated approach for finding variable-constant pairing bugs. ASE Julia Lawall, David Lo
2010	—	`conf`	Comprehensive evaluation of association measures for fault localization. ICSM Lucia, David Lo, Lingxiao Jiang, Aditya Budi
2010	—	`conf`	LM: a miner for scenario-based specifications. ICSE (2) Tuan-Anh Doan, David Lo, Shahar Maoz, Siau-Cheng Khoo
2010	A*	`conf`	Matching dependence-related queries in the system dependence graph. ASE Xiaoyin Wang, David Lo, Jiefeng Cheng, Lu Zhang, Hong Mei, Jeffrey Xu Yu
2010	—	`conf`	Mining Antagonistic Communities from Social Networks. PAKDD (1) Kuan Zhang, David Lo, Ee-Peng Lim
2010	—	`conf`	Mining Collaboration Patterns from a Large Developer Network. WCRE Didi Surian, David Lo, Ee-Peng Lim
2010	A	`conf`	Mining interesting link formation rules in social networks. CIKM Cane Wing-Ki Leung, Ee-Peng Lim, David Lo, Jianshu Weng
2010	A*	`conf`	Scenario-based and value-based specification mining: better together. ASE David Lo, Shahar Maoz
2009	—	`conf`	Automatic steering of behavioral model inference. ESEC/SIGSOFT FSE David Lo, Leonardo Mariani, Mauro Pezzè
2009	A*	`conf`	Classification of software behaviors for failure detection: a discriminative pattern mining approach. KDD David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo, Chengnian Sun
2009	J	`jnl`	Data Mining for Software Engineering. Computer Tao Xie, Suresh Thummalapenta, David Lo, Chao Liu
2009	A*	`conf`	Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database. ICDE Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo
2009	—	`conf`	Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpora. ACL/IJCNLP (2) Xiaoyin Wang, David Lo, Jing Jiang, Lu Zhang, Hong Mei
2009	A	`conf`	Identifying bug signatures using discriminative graph mining. ISSTA Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan
2009	A*	`conf`	Mining Hierarchical Scenario-Based Specifications. ASE David Lo, Shahar Maoz
2009	—	`conf`	Mining Quantified Temporal Rules: Formalism, Algorithms, and Evaluation. WCRE David Lo, Ganesan Ramalingam, Venkatesh Prasad Ranganath, Kapil Vaswani
2009	—	`ch.`	Mining Software Specifications. Encyclopedia of Data Warehousing and Mining David Lo
2009	—	`conf`	Mining scenario-based specifications with value-based invariants. OOPSLA Companion David Lo, Shahar Maoz
2009	J	`jnl`	Non-redundant sequential rules - Theory and algorithm. Inf. Syst. David Lo, Siau-Cheng Khoo, Limsoon Wong
2008	B	`conf`	Efficient Mining of Recurrent Rules from a Sequence Database. DASFAA David Lo, Siau-Cheng Khoo, Chao Liu
2008	—	`conf`	Hierarchical inter-object traces for specification mining. OOPSLA Companion David Lo, Shahar Maoz
2008	A*	`conf`	Mining Scenario-Based Triggers and Effects. ASE David Lo, Shahar Maoz
2008	A	`conf`	Mining and Ranking Generators of Sequential Patterns. SDM David Lo, Siau-Cheng Khoo, Jinyan Li
2008	—	`conf`	Mining past-time temporal rules from execution traces. WODA David Lo, Siau-Cheng Khoo, Chao Liu
2008	J	`jnl`	Mining patterns and rules for software specification discovery. Proc. VLDB Endow. David Lo, Siau-Cheng Khoo
2008	—	`conf`	Mining specifications in diversified formats from execution traces. ICSM David Lo
2008	J	`jnl`	Mining temporal rules for software maintenance. J. Softw. Maintenance Res. Pract. David Lo, Siau-Cheng Khoo, Chao Liu
2008	—	`conf`	Specification mining of symbolic scenario-based models. PASTE David Lo, Shahar Maoz
2007	A*	`conf`	Efficient mining of iterative patterns for software specification discovery. KDD David Lo, Siau-Cheng Khoo, Chao Liu
2007	A*	`conf`	Mining modal scenario-based specifications from execution traces of reactive systems. ASE David Lo, Shahar Maoz, Siau-Cheng Khoo
2007	—	`conf`	Mining modal scenarios from execution traces. OOPSLA Companion David Lo, Shahar Maoz, Siau-Cheng Khoo
2006	—	`conf`	QUARK: Empirical Assessment of Automaton-based Specification Miners. WCRE David Lo, Siau-Cheng Khoo
2006	—	`conf`	SMArTIC: towards building an accurate, robust and scalable specification miner. SIGSOFT FSE David Lo, Siau-Cheng Khoo