Xin Xia - RankMe

494 papers A* 70A 59B 11C 7Misc 3Journal 283Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Benchmark for Evaluating Repository-Level Code Agents with Intermediate Reasoning on Feature Addition Task. CoRR Shuhan Liu, Zhiyi Zhao, Xing Hu, Kui Liu, Xiaohu Yang, Xin Xia
2026	J	`jnl`	A Large-scale Empirical Study on the Generalizability of Disclosed Java Library Vulnerability Exploits. CoRR Zirui Chen, Qi Zhan, Jiayuan Zhou, Xing Hu, Xin Xia, Xiaohu Yang
2026	J	`jnl`	Automated Unit Test Generation via Chain-of-Thought Prompt and Reinforcement Learning from Coverage Feedback. ACM Trans. Softw. Eng. Methodol. Junwei Zhang, Xing Hu, Xin Xia, Shing-Chi Cheung, Shanping Li
2026	J	`jnl`	DepRadar: Agentic Coordination for Context Aware Defect Impact Analysis in Deep Learning Libraries. CoRR Yi Gao, Xing Hu, Tongtong Xu, Jiali Zhao, Xiaohu Yang, Xin Xia
2026	J	`jnl`	Every Maintenance Has Its Exemplar: The Future of Software Maintenance through Migration. CoRR Zirui Chen, Xing Hu, Xin Xia, Xiaohu Yang
2026	J	`jnl`	Forecasting Developer Environments with GenAI: A Research Perspective. CoRR Raula Gaikovina Kula, Christoph Treude, Xing Hu, Sebastian Baltes, Earl T. Barr, Kelly Blincoe, Fabio Calefato, Junjie Chen, Marc Cheong, Youmei Fan, Daniel M. Germán, Marco Aurélio Gerosa, Jin L. C. Guo, Shinpei Hayashi, Robert Hirschfeld, Reid Holmes, Yintong Huo, Takashi Kobayashi, Michele Lanza, Zhongxin Liu, Olivier Nourry, Nicole Novielli, Denys Poshyvanyk, Shinobu Saito, Kazumasa Shimari, Igor Steinmacher, Mairieli Wessel, Markus Wagner, Annie Vella, Laurie Williams, Xin Xia
2026	J	`jnl`	NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations. ACM Trans. Softw. Eng. Methodol. Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia
2026	J	`jnl`	Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation. CoRR Guang Yang, Xing Hu, Xiang Chen, Xin Xia
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`	Verify Implementation Equivalence of Large Models. CoRR Qi Zhan, Xing Hu, Xin Xia, Shanping Li
2025	J	`jnl`	AXIOM: Benchmarking LLM-as-a-Judge for Code via Rule-Based Perturbation and Multisource Quality Calibration. CoRR Ruiqi Wang, Xinchen Wang, Cuiyun Gao, Chun Yong Chong, Xin Xia, Qing Liao
2025	J	`jnl`	ActRef: Enhancing the Understanding of Python Code Refactoring with Action-Based Analysis. CoRR Siqi Wang, Xing Hu, Xin Xia, Xinyu Wang
2025	J	`jnl`	Actionable Warning Is Not Enough: Recommending Valid Actionable Warnings with Weak Supervision. CoRR Zhipeng Xue, Zhipeng Gao, Tongtong Xu, Xing Hu, Xin Xia, Shanping Li
2025	J	`jnl`	An Empirical Study of Knowledge Distillation for Code Understanding Tasks. CoRR Ruiqi Wang, Zezhou Yang, Cuiyun Gao, Xin Xia, Qing Liao
2025	J	`jnl`	An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities. CoRR Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia
2025	J	`jnl`	An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities. ACM Trans. Softw. Eng. Methodol. Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia
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 Empirical Study on Vulnerability Disclosure Management of Open Source Software Systems. ACM Trans. Softw. Eng. Methodol. Shuhan Liu, Jiayuan Zhou, Xing Hu, Filipe Roseiro Côgo, Xin Xia, Xiaohu Yang
2025	J	`jnl`	Artificial Intelligence for Software Engineering: The Journey So Far and the Road Ahead. ACM Trans. Softw. Eng. Methodol. Iftekhar Ahmed, Aldeida Aleti, Haipeng Cai, Alexander Chatzigeorgiou, Pinjia He, Xing Hu, Mauro Pezzè, Denys Poshyvanyk, Xin Xia
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`	Automated Unit Test Refactoring. Proc. ACM Softw. Eng. Yi Gao, Xing Hu, Xiaohu Yang, Xin Xia
2025	J	`jnl`	Automating Comment Generation for Smart Contract from Bytecode. CoRR Jianhang Xiang, Zhipeng Gao, Lingfeng Bao, Xing Hu, Jiayuan Chen, Xin Xia
2025	J	`jnl`	Automating Comment Generation for Smart Contract from Bytecode. ACM Trans. Softw. Eng. Methodol. Jianhang Xiang, Zhipeng Gao, Lingfeng Bao, Xing Hu, Jiayuan Chen, Xin Xia
2025	J	`jnl`	Automating TODO-missed Methods Detection and Patching. ACM Trans. Softw. Eng. Methodol. Zhipeng Gao, Yanqi Su, Xing Hu, Xin Xia
2025	J	`jnl`	Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering. CoRR Ruiqi Wang, Jiyu Guo, Cuiyun Gao, Guodong Fan, Chun Yong Chong, Xin Xia
2025	J	`jnl`	Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering. Proc. ACM Softw. Eng. Ruiqi Wang, Jiyu Guo, Cuiyun Gao, Guodong Fan, Chun Yong Chong, Xin Xia
2025	J	`jnl`	Clean Code, Better Models: Enhancing LLM Performance with Smell-Cleaned Dataset. CoRR Zhipeng Xue, Xiaoting Zhang, Zhipeng Gao, Xing Hu, Shan Gao, Xin Xia, Shanping Li
2025	J	`jnl`	Correction to: App review driven collaborative bug finding. Empir. Softw. Eng. Xunzhu Tang, Haoye Tian, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
2025	J	`jnl`	Deep learning-based software engineering: progress, challenges, and opportunities. Sci. China Inf. Sci. Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang
2025	J	`jnl`	Diffploit: Facilitating Cross-Version Exploit Migration for Open Source Library Vulnerabilities. CoRR Zirui Chen, Zhipeng Xue, Jiayuan Zhou, Xing Hu, Xin Xia, Xiaohu Yang
2025	J	`jnl`	E-PRedictor: an approach for early prediction of pull request acceptance. Sci. China Inf. Sci. Kexing Chen, Lingfeng Bao, Xing Hu, Xin Xia, Xiaohu Yang
2025	J	`jnl`	Ensemble Fuzzing with Dynamic Resource Scheduling and Multidimensional Seed Evaluation. CoRR Yukai Zhao, Shaohua Wang, Jue Wang, Xing Hu, Xin Xia
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`	FAIT: Fault-Aware Fine-Tuning for Better Code Generation. CoRR Lishui Fan, Zhongxin Liu, Haoye Wang, Lingfeng Bao, Xin Xia, Shanping Li
2025	A*	`conf`	FGit: Fault-Guided Fine-Tuning for Code Generation. ASE Lishui Fan, Zhongxin Liu, Haoye Wang, Lingfeng Bao, Xin Xia, Shanping Li
2025	J	`jnl`	Feature Request Analysis and Processing: Tasks, Techniques, and Trends. CoRR Feifei Niu, Chuanyi Li, Haosheng Zuo, Jionghan Wu, Xin Xia
2025	A	`conf`	From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice. MSR Zhuang Liu, Xing Hu, Jiayuan Zhou, Xin Xia
2025	J	`jnl`	Generating Mitigations for Downstream Projects to Neutralize Upstream Library Vulnerability. CoRR Zirui Chen, Xing Hu, Puhua Sun, Xin Xia, Xiaohu Yang
2025	A*	`conf`	HFuzzer: Testing Large Language Models for Package Hallucinations via Phrase-based Fuzzing. ASE Yukai Zhao, Menghan Wu, Xing Hu, Xin Xia
2025	J	`jnl`	HFuzzer: Testing Large Language Models for Package Hallucinations via Phrase-based Fuzzing. CoRR Yukai Zhao, Menghan Wu, Xing Hu, Xin Xia
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	A	`conf`	Integrating Rules and Semantics for LLM-Based C-to-Rust Translation. ICSME Feng Luo, Kexing Ji, Cuiyun Gao, Shuzheng Gao, Jia Feng, Kui Liu, Xin Xia, Michael R. Lyu
2025	J	`jnl`	Integrating Rules and Semantics for LLM-Based C-to-Rust Translation. CoRR Feng Luo, Kexing Ji, Cuiyun Gao, Shuzheng Gao, Jia Feng, Kui Liu, Xin Xia, Michael R. Lyu
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: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. Xiao Yu, Guancheng Lin, Xing Hu, Jacky Wai Keung, Xin Xia
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`	Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations. CoRR Guancheng Lin, Xiao Yu, Jacky Keung, Xing Hu, Xin Xia, Alex X. Liu
2025	A*	`conf`	Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators. USENIX Security Symposium Kunpeng Zhang, Zongjie Li, Daoyuan Wu, Shuai Wang, Xin Xia
2025	J	`jnl`	Low-Cost and Comprehensive Non-textual Input Fuzzing with LLM-Synthesized Input Generators. CoRR Kunpeng Zhang, Zongjie Li, Daoyuan Wu, Shuai Wang, Xin Xia
2025	C	`conf`	Multi-Stage Generation of Rust Unit Tests with LLMs. APSEC Yongqian Chen, Junwei Zhang, Xing Hu, Xin Xia
2025	C	`conf`	Multi-view Leaderboard: Towards Evaluating the Code Intelligence of LLMs From Multiple Views. APSEC Mengyuan Liu, Zexun Zhan, Cuiyun Gao, Yujia Chen, Guoai Xu, Chun Yong Chong, Shan Gao, Xin Xia
2025	J	`jnl`	Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMs. CoRR Shufan Wang, Xing Hu, Junkai Chen, Zhiyuan Pan, Xin Xia
2025	J	`jnl`	Preface. J. Comput. Sci. Technol. Xin Xia, Xing Hu
2025	—	`ed.`	Proceedings of the 16th International Conference on Internetware, Internetware 2025, Trondheim, Norway, June 20-22, 2025 Internetware Hong Mei, Jian Lv, Zhi Jin, Xuandong Li, Thomas Zimmermann, Ge Li, Lei Bu, Xin Xia
2025	J	`jnl`	Re-Evaluating Code LLM Benchmarks Under Semantic Mutation. CoRR Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang
2025	A*	`conf`	RealisticCodeBench: Towards More Realistic Evaluation of Large Language Models for Code Generation. ASE Xiao Yu, Haoxuan Chen, Lei Liu, Xing Hu, Jacky Wai Keung, Xin Xia
2025	J	`jnl`	Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework. CoRR Kerui Huang, Shuhan Liu, Xing Hu, Tongtong Xu, Lingfeng Bao, Xin Xia
2025	A*	`conf`	Reasoning Runtime Behavior of a Program with LLM: How Far are We? ICSE Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
2025	A	`conf`	Refactoring Deep Learning Code: a Study of Practices and Unsatisfied Tool Needs. ICSME Siqi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, Xinyu Wang
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`	Safe4U: Identifying Unsound Safe Encapsulations of Unsafe Calls in Rust using LLMs. Proc. ACM Softw. Eng. Huan Li, Bei Wang, Xing Hu, Xin Xia
2025	A*	`conf`	Similar but Patched Code Considered Harmful: The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them. ICSE Zixuan Tan, Jiayuan Zhou, Xing Hu, Shengyi Pan, Kui Liu, Xin Xia
2025	A*	`conf`	Test Intention Guided LLM-Based Unit Test Generation. ICSE Zifan Nan, Zhaoqiang Guo, Kui Liu, Xin Xia
2025	J	`jnl`	The Current Challenges of Software Engineering in the Era of Large Language Models. ACM Trans. Softw. Eng. Methodol. Cuiyun Gao, Xing Hu, Shan Gao, Xin Xia, Zhi Jin
2025	A*	`conf`	Towards Better Answers: Automated Stack Overflow Post Updating. ICSE Yubo Mai, Zhipeng Gao, Haoye Wang, Tingting Bi, Xing Hu, Xin Xia, Jianling Sun
2025	J	`jnl`	Towards Explainable Vulnerability Detection With Large Language Models. IEEE Trans. Software Eng. Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun
2025	J	`jnl`	Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models. CoRR Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia
2025	A	`conf`	Tracets4J: A Traceable Unit Test Generation Dataset. SANER Xuancheng Jin, Zhuang Liu, Junwei Zhang, Xing Hu, Xin Xia
2025	J	`jnl`	Understanding Practitioners' Expectations on Clear Code Review Comments. Proc. ACM Softw. Eng. Junkai Chen, Zhenhao Li, Qiheng Mao, Xing Hu, Kui Liu, Xin Xia
2025	A*	`conf`	When AllClose Fails: Round-Off Error Estimation for Deep Learning Programs. ASE Qi Zhan, Xing Hu, Yuanyi Lin, Tongtong Xu, Xin Xia, Shanping Li
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	C	`conf`	Where Is Self-admitted Code Generated by Large Language Models on GitHub? APSEC Xiao Yu, Lei Liu, Xing Hu, Jin Liu, Xin Xia
2025	A*	`conf`	WingMuzz: Blackbox Testing of IoT Protocols via Two-dimensional Fuzzing Schedule. ASE Xiaogang Zhu, Enze Dai, Xiaotao Feng, Shaohua Wang, Xin Xia, Sheng Wen, Kwok-Yan Lam, Yang Xiang
2024	A	`conf`	A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. MSR Jiaqi Wu, Lingfeng Bao, Xiaohu Yang, Xin Xia, Xing Hu
2024	J	`jnl`	A Rule-Based Approach for UI Migration from Android to iOS. CoRR Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, Xiaohu Yang
2024	J	`jnl`	A Survey on Modern Code Review: Progresses, Challenges and Opportunities. CoRR Zezhou Yang, Cuiyun Gao, Zhaoqiang Guo, Zhenhao Li, Kui Liu, Xin Xia, Yuming Zhou
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	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	J	`jnl`	App review driven collaborative bug finding. Empir. Softw. Eng. Xunzhu Tang, Haoye Tian, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
2024	J	`jnl`	Aspect-level Information Discrepancies across Heterogeneous Vulnerability Reports: Severity, Types and Detection Methods. ACM Trans. Softw. Eng. Methodol. Jiamou Sun, Zhenchang Xing, Xin Xia, Qinghua Lu, Xiwei Xu, Liming Zhu
2024	J	`jnl`	Automating TODO-missed Methods Detection and Patching. CoRR Zhipeng Gao, Yanqi Su, Xing Hu, Xin Xia
2024	A	`conf`	Automating Zero-Shot Patch Porting for Hard Forks. ISSTA Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li
2024	J	`jnl`	Automating Zero-Shot Patch Porting for Hard Forks. CoRR Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li
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`	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	A*	`conf`	ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. ASE Jia Feng, Jiachen Liu, Cuiyun Gao, Chun Yong Chong, Chaozheng Wang, Shan Gao, Xin Xia
2024	J	`jnl`	ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. CoRR Jia Feng, Jiachen Liu, Cuiyun Gao, Chun Yong Chong, Chaozheng Wang, Shan Gao, Xin Xia
2024	J	`jnl`	Context-Enhanced LLM-Based Framework for Automatic Test Refactoring. CoRR Yi Gao, Xing Hu, Xiaohu Yang, Xin Xia
2024	J	`jnl`	Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities. CoRR Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang
2024	A	`conf`	Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization. SANER Junwei Zhang, Xing Hu, Lingfeng Bao, Xin Xia, Shanping Li
2024	—	`conf`	Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. SIGSOFT FSE Companion Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia
2024	J	`jnl`	Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. CoRR Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia
2024	J	`jnl`	Enhancing Repository-Level Code Generation with Integrated Contextual Information. CoRR Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang
2024	J	`jnl`	Evaluating Large Language Models with Runtime Behavior of Program Execution. CoRR Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
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	A	`conf`	Exploring and Improving Code Completion for Test Code. ICPC Tingwei Zhu, Zhongxin Liu, Tongtong Xu, Ze Tang, Tian Zhang, Minxue Pan, Xin Xia
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	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`	Fight Fire With Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? IEEE Trans. Software Eng. Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia
2024	J	`jnl`	Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? CoRR Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia
2024	J	`jnl`	GGT: Graph-guided testing for adversarial sample detection of deep neural network. Comput. Secur. Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
2024	J	`jnl`	Generative AI: Redefining the Future of Software Engineering. IEEE Softw. Anita D. Carleton, Davide Falessi, Hongyu Zhang, Xin Xia
2024	—	`conf`	Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. Internetware Junwei Zhang, Zhongxin Liu, Lingfeng Bao, Zhenchang Xing, Xing Hu, Xin Xia
2024	J	`jnl`	Insights into Deep Learning Refactoring: Bridging the Gap Between Practices and Expectations. CoRR Siqi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, Xingyu Wang
2024	A*	`conf`	Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. ICSE Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu
2024	J	`jnl`	Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. CoRR Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu
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`	Market Manipulation of Cryptocurrencies: Evidence from Social Media and Transaction Data. ACM Trans. Internet Techn. Wen Li, Lingfeng Bao, Jiachi Chen, John C. Grundy, Xin Xia, Xiaohu Yang
2024	J	`jnl`	NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations. CoRR Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia
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`	Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Trans. Softw. Eng. Methodol. Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia
2024	A	`conf`	Practitioners' Expectations on Automated Test Generation. ISSTA Xiao Yu, Lei Liu, Xing Hu, Jacky Keung, Xin Xia, David Lo
2024	A*	`conf`	Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. ICSE Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang
2024	J	`jnl`	Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. CoRR Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang
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	A*	`conf`	REACT: IR-Level Patch Presence Test for Binary. ASE Qi Zhan, Xing Hu, Xin Xia, Shanping Li
2024	A	`conf`	SelfPiCo: Self-Guided Partial Code Execution with LLMs. ISSTA Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li
2024	J	`jnl`	SelfPiCo: Self-Guided Partial Code Execution with LLMs. CoRR Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li
2024	J	`jnl`	Similar but Patched Code Considered Harmful - The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them. CoRR Zixuan Tan, Jiayuan Zhou, Xing Hu, Shengyi Pan, Kui Liu, Xin Xia
2024	—	`conf`	Software Service Engineering in the Era of Large Language Models. SSE Xin Xia, Zhi Jin, Marco Aiello, Dongmei Zhang, Guangtai Liang, Xing Hu
2024	A*	`conf`	Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. ICSE Yanming Yang, Xing Hu, Xin Xia, David Lo, Xiaohu Yang
2024	J	`jnl`	Studying Practitioners' Expectations on Clear Code Review Comments. CoRR Zhenhao Li, Junkai Chen, Qiheng Mao, Xing Hu, Kui Liu, Xin Xia
2024	J	`jnl`	The Current Challenges of Software Engineering in the Era of Large Language Models. CoRR Cuiyun Gao, Xing Hu, Shan Gao, Xin Xia, Zhi Jin
2024	J	`jnl`	The Lost World: Characterizing and Detecting Undiscovered Test Smells. ACM Trans. Softw. Eng. Methodol. Yanming Yang, Xing Hu, Xin Xia, Xiaohu Yang
2024	J	`jnl`	TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site. ACM Trans. Softw. Eng. Methodol. Yuanhang Yang, Wei He, Cuiyun Gao, Zenglin Xu, Xin Xia, Chuanyi Liu
2024	J	`jnl`	Towards Better Answers: Automated Stack Overflow Post Updating. CoRR Yubo Mai, Zhipeng Gao, Haoye Wang, Tingting Bi, Xing Hu, Xin Xia, Jianling Sun
2024	J	`jnl`	Towards Effectively Detecting and Explaining Vulnerabilities Using Large Language Models. CoRR Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun
2024	A*	`conf`	Towards More Practical Automation of Vulnerability Assessment. ICSE Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li
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	J	`jnl`	Unit Test Generation for Vulnerability Exploitation in Java Third-Party Libraries. CoRR Yi Gao, Xing Hu, Zirui Chen, Xiaohu Yang, Xin Xia
2024	—	`conf`	Unveil the Mystery of Critical Software Vulnerabilities. SIGSOFT FSE Companion Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li
2024	J	`jnl`	Verified Lifting of Deep learning Operators. CoRR Qi Zhan, Xing Hu, Xin Xia, Shanping Li
2024	J	`jnl`	Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Trans. Software Eng. Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, Xinyu Wang
2024	A*	`conf`	What Makes a High-Quality Training Dataset for Large Language Models: A Practitioners' Perspective. ASE Xiao Yu, Zexian Zhang, Feifei Niu, Xing Hu, Xin Xia, John Grundy
2024	J	`jnl`	Where Are Large Language Models for Code Generation on GitHub? CoRR Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia
2023	J	`jnl`	1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application. IEEE Trans. Serv. Comput. Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia
2023	J	`jnl`	API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. IEEE Trans. Software Eng. Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu
2023	J	`jnl`	An empirical study of the impact of log parsers on the performance of log-based anomaly detection. Empir. Softw. Eng. Ying Fu, Meng Yan, Zhou Xu, Xin Xia, Xiaohong Zhang, Dan Yang
2023	A*	`conf`	Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. ASE Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang
2023	J	`jnl`	Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. CoRR Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang
2023	J	`jnl`	Assessing the Alignment between the Information Needs of Developers and the Documentation of Programming Languages: A Case Study on Rust. ACM Trans. Softw. Eng. Methodol. Filipe Roseiro Côgo, Xin Xia, Ahmed E. Hassan
2023	A*	`conf`	CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. ICSE Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang
2023	J	`jnl`	CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. CoRR Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang
2023	J	`jnl`	CCT5: A Code-Change-Oriented Pre-Trained Model. CoRR Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
2023	—	`conf`	CCT5: A Code-Change-Oriented Pre-trained Model. ESEC/SIGSOFT FSE Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
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`	Code Structure-Guided Transformer for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, Michael R. Lyu
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	—	`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	—	`conf`	Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. ESEC/SIGSOFT FSE Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia
2023	J	`jnl`	Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. CoRR Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia
2023	J	`jnl`	EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. CoRR Jia Allen Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin
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	A*	`conf`	Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. ICSE Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu
2023	J	`jnl`	Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. CoRR Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu
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`	How Does Visualisation Help App Practitioners Analyse Android Apps? IEEE Trans. Dependable Secur. Comput. Lihong Tang, Tingmin Wu, Xiao Chen, Sheng Wen, Li Li, Xin Xia, Marthie Grobler, Yang Xiang
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	A	`ed.`	IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, Taipa, Macao, March 21-24, 2023 SANER Tao Zhang, Xin Xia, Nicole Novielli
2023	A*	`conf`	Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach. ASE Xing Hu, Zhuang Liu, Xin Xia, Zhongxin Liu, Tongtong Xu, Xiaohu Yang
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`	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`	Neural SZZ Algorithm. ASE Lingxiao Tang, Lingfeng Bao, Xin Xia, Zhongdong Huang
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`	Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. IEEE Trans. Software Eng. Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao
2023	—	`ed.`	Proceedings of the 14th Asia-Pacific Symposium on Internetware, Internetware 2023, Hangzhou, China, August 4-6, 2023 Internetware Hong Mei, Jian Lv, Zhi Jin, Xuandong Li, Xiaohu Yang, Xin Xia
2023	A*	`conf`	RepresentThemAll: A Universal Learning Representation of Bug Reports. ICSE Sen Fang, Tao Zhang, Youshuai Tan, He Jiang, Xin Xia, Xiaobing Sun
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	A*	`conf`	SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. ICSE Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu
2023	J	`jnl`	SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. CoRR Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu
2023	J	`jnl`	Semantic-Enriched Code Knowledge Graph to Reveal Unknowns in Smart Contract Code Reuse. ACM Trans. Softw. Eng. Methodol. Qing Huang, Dianshu Liao, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia
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	A	`conf`	Towards More Realistic Evaluation for Neural Test Oracle Generation. ISSTA Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang
2023	J	`jnl`	Towards More Realistic Evaluation for Neural Test Oracle Generation. CoRR Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang
2023	J	`jnl`	Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code. IEEE Trans. Software Eng. Junwei Zhang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li
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`	deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. ACM Trans. Softw. Eng. Methodol. Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Linxiao Bai, Wei Dong, Xiangke Liao
2022	J	`jnl`	1+1>2: Programming Know-What and Know-How Knowledge Fusion, Semantic Enrichment and Coherent Application. CoRR Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia
2022	J	`jnl`	A Survey on Deep Learning for Software Engineering. ACM Comput. Surv. Yanming Yang, Xin Xia, David Lo, John C. Grundy
2022	A*	`conf`	A Universal Data Augmentation Approach for Fault Localization. ICSE Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao
2022	J	`jnl`	A unified multi-task learning model for AST-level and token-level code completion. Empir. Softw. Eng. Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin
2022	J	`jnl`	API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning. CoRR Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu
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	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 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	J	`jnl`	Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. ACM Trans. Internet Techn. Tingmin Wu, Wanlun Ma, Sheng Wen, Xin Xia, Cécile Paris, Surya Nepal, Yang Xiang
2022	J	`jnl`	Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang
2022	—	`conf`	Are we building on the rock? on the importance of data preprocessing for code summarization. ESEC/SIGSOFT FSE Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang
2022	J	`jnl`	Assessing the alignment between the information needs of developers and the documentation of programming languages: A case study on Rust. CoRR Filipe Roseiro Côgo, Xin Xia, Ahmed E. Hassan
2022	—	`conf`	Automated unearthing of dangerous issue reports. ESEC/SIGSOFT FSE Shengyi Pan, Jiayuan Zhou, Filipe Roseiro Côgo, Xin Xia, Lingfeng Bao, Xing Hu, Shanping Li, Ahmed E. Hassan
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	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	A	`conf`	C4: contrastive cross-language code clone detection. ICPC Chenning Tao, Qi Zhan, Xing Hu, Xin Xia
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	—	`conf`	Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction. ICSE (SEIP) Qiuyuan Chen, Dezhen Kong, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li
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`	Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing. ASE Yanqi Su, Zheming Han, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu
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	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	J	`jnl`	Diversified Third-Party Library Prediction for Mobile App Development. IEEE Trans. Software Eng. Qiang He, Bo Li, Feifei Chen, John C. Grundy, Xin Xia, Yun Yang
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	J	`jnl`	How does working from home affect developer productivity? - A case study of Baidu during the COVID-19 pandemic. Sci. China Inf. Sci. Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang
2022	J	`jnl`	How secondary school girls perceive Computational Thinking practices through collaborative programming with the micro: bit. J. Syst. Softw. Mojtaba Shahin, Christabel Gonsalvez, Jon Whittle, Chunyang Chen, Li Li, Xin Xia
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	A	`conf`	Improving Fault Localization Using Model-domain Synthesized Failing Test Generation. ICSME Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia
2022	J	`jnl`	Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. CoRR Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
2022	A*	`conf`	Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. ASE Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
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`	Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms. CoRR Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu
2022	—	`conf`	Making Python code idiomatic by automatic refactoring non-idiomatic Python code with pythonic idioms. ESEC/SIGSOFT FSE Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu
2022	—	`conf`	Message from the ISSRE 2022 Industry Track Committee Chairs. ISSRE Workshops Uttam Thakore, Muntasir Rahman, Xin Xia, Keun Soo Yim
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	A	`conf`	On the Way to Microservices: Exploring Problems and Solutions from Online Q&A Community. SANER Menghan Wu, Yang Zhang, Jiakun Liu, Shangwen Wang, Zhang Zhang, Xin Xia, Xinjun Mao
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`	Poison Attack and Defense on Deep Source Code Processing Models. CoRR Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia
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	A	`conf`	Recommending Code Reviewers for Proprietary Software Projects: A Large Scale Study. SANER Dezhen Kong, Qiuyuan Chen, Lingfeng Bao, Chenxing Sun, Xin Xia, Shanping Li
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	J	`jnl`	Technical Q&A Site Answer Recommendation via Question Boosting. CoRR Zhipeng Gao, Xin Xia, David Lo, John C. Grundy
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	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	A*	`conf`	V-SZZ: Automatic Identification of Version Ranges Affected by CVE Vulnerabilities. ICSE Lingfeng Bao, Xin Xia, Ahmed E. Hassan, Xiaohu Yang
2022	A	`conf`	VCMatch: A Ranking-based Approach for Automatic Security Patches Localization for OSS Vulnerabilities. SANER Shichao Wang, Yun Zhang, Liagfeng Bao, Xin Xia, Minghui Wu
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
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	—	`conf`	A First Look at Human Values-Violation in App Reviews. ICSE-SEIS Humphrey O. Obie, Waqar Hussain, Xin Xia, John C. Grundy, Li Li, Burak Turhan, Jon Whittle, Mojtaba Shahin
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`	A Survey on Adaptive Random Testing. IEEE Trans. Software Eng. Rubing Huang, Weifeng Sun, Yinyin Xu, Haibo Chen, Dave Towey, Xin Xia
2021	J	`jnl`	A comprehensive study on security bug characteristics. J. Softw. Evol. Process. Ying Wei, Xiaobing Sun, Lili Bo, Sicong Cao, Xin Xia, Bin Li
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	—	`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	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	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	—	`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	J	`jnl`	Code Structure Guided Transformer for Source Code Summarization. CoRR Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia
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	A*	`conf`	Detecting Adversarial Samples with Graph-Guided Testing. ASE Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
2021	A*	`conf`	Don't Do That! Hunting Down Visual Design Smells in Complex UIs against Design Guidelines. ICSE Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li
2021	A*	`conf`	EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. ASE Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin
2021	—	`conf`	Embedding app-library graph for neural third party library recommendation. ESEC/SIGSOFT FSE Bo Li, Qiang He, Feifei Chen, Xin Xia, Li Li, John C. Grundy, Yun Yang
2021	—	`conf`	Evaluating Upgradable Smart Contract. Blockchain Van Cuong Bui, Sheng Wen, Jiangshan Yu, Xin Xia, Mohammad Sayad Haghighi, Yang Xiang
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`	GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network. CoRR Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
2021	J	`jnl`	Helping or not helping? Why and how trivial packages impact the npm ecosystem. Empir. Softw. Eng. Xiaowei Chen, Rabe Abdalkareem, Suhaib Mujahid, Emad Shihab, Xin Xia
2021	J	`jnl`	How Secondary School Girls Perceive Computational Thinking Practices through Collaborative Programming with the Micro: bit. CoRR Mojtaba Shahin, Chris Gonsalvez, Jon Whittle, Chunyang Chen, Li Li, Xin Xia
2021	J	`jnl`	How Should I Improve the UI of My App?: A Study of User Reviews of Popular Apps in the Google Play. ACM Trans. Softw. Eng. Methodol. Qiuyuan Chen, Chunyang Chen, Safwat Hassan, Zhengchang Xing, Xin Xia, Ahmed E. Hassan
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	—	`conf`	KGAMD: an API-misuse detector driven by fine-grained API-constraint knowledge graph. ESEC/SIGSOFT FSE Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Jianling Sun
2021	J	`jnl`	Locating Latent Design Information in Developer Discussions: A Study on Pull Requests. IEEE Trans. Software Eng. Giovanni Viviani, Michalis Famelis, Xin Xia, Calahan Janik-Jones, Gail C. Murphy
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`	Mining Architecture Tactics and Quality Attributes Knowledge in Stack Overflow. CoRR Tingting Bi, Peng Liang, Antony Tang, Xin Xia
2021	J	`jnl`	Mining Architecture Tactics and Quality Attributes knowledge in Stack Overflow. J. Syst. Softw. Tingting Bi, Peng Liang, Antony Tang, Xin Xia
2021	J	`jnl`	Modular Tree Network for Source Code Representation Learning. CoRR Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
2021	A	`conf`	Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. SANER Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang
2021	J	`jnl`	Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. CoRR Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang
2021	A	`conf`	Quality Assurance for Automated Commit Message Generation. SANER Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang
2021	J	`jnl`	Recommending tags for pull requests in GitHub. Inf. Softw. Technol. Jing Jiang, Qiudi Wu, Jin Cao, Xin Xia, Li Zhang
2021	A*	`conf`	Reducing Bug Triaging Confusion by Learning from Mistakes with a Bug Tossing Knowledge Graph. ASE Yanqi Su, Zhenchang Xing, Xin Peng, Xin Xia, Chong Wang, Xiwei Xu, Liming Zhu
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	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`	UIS-Hunter: Detecting UI Design Smells in Android Apps. ICSE (Companion Volume) Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, 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 Do Programmers Discuss About Blockchain? A Case Study on the Use of Balanced LDA and the Reference Architecture of a Domain to Capture Online Discussions About Blockchain Platforms Across Stack Exchange Communities. IEEE Trans. Software Eng. Zhiyuan Wan, Xin Xia, Ahmed E. Hassan
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`	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`	Wireframe-Based UI Design Search Through Image Autoencoder. CoRR Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, Jinshui Wang
2021	J	`jnl`	deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. CoRR Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Bailin Xiao, Wei Dong, Xiangke Liao
2021	J	`jnl`	psc2code: Denoising Code Extraction from Programming Screencasts. CoRR Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Minghui Wu, Xiaohu Yang
2020	J	`jnl`	A First Look at Human Values-Violation in App Reviews. CoRR Humphrey O. Obie, Waqar Hussain, Xin Xia, John C. Grundy, Li Li, Burak Turhan, Jon Whittle, Mojtaba Shahin
2020	A	`conf`	A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning. ICPC Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin
2020	J	`jnl`	A Survey on Adaptive Random Testing. CoRR Rubing Huang, Weifeng Sun, Yinyin Xu, Haibo Chen, Dave Towey, Xin Xia
2020	J	`jnl`	A Survey on Deep Learning for Software Engineering. CoRR Yanming Yang, Xin Xia, David Lo, John C. Grundy
2020	A*	`conf`	API-Misuse Detection Driven by Fine-Grained API-Constraint Knowledge Graph. ASE Xiaoxue Ren, Xinyuan Ye, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Jianling Sun
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`	Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity. CoRR Tingmin Wu, Wanlun Ma, Sheng Wen, Xin Xia, Cécile Paris, Surya Nepal, Yang Xiang
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	A*	`conf`	Automating Just-In-Time Comment Updating. ASE Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li
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	J	`jnl`	CDA: Characterising Deprecated Android APIs. Empir. Softw. Eng. Li Li, Jun Gao, Tegawendé F. Bissyandé, Lei Ma, Xin Xia, Jacques Klein
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`	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	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`	Demystify official API usage directives with crowdsourced API misuse scenarios, erroneous code examples and patches. ICSE Xiaoxue Ren, Jiamou Sun, Zhenchang Xing, Xin Xia, Jianling Sun
2020	A	`conf`	Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. SANER Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
2020	J	`jnl`	Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
2020	A	`conf`	Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks. ICPC Jianjun He, Ling Xu, Meng Yan, Xin Xia, Yan Lei
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	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	J	`jnl`	How does Working from Home Affect Developer Productivity? - A Case Study of Baidu During COVID-19 Pandemic. CoRR Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang
2020	A	`conf`	Improving Code Search with Co-Attentive Representation Learning. ICPC Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, Yan Lei
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	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`	Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
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	A*	`conf`	Predicting Code Context Models for Software Development Tasks. ASE Zhiyuan Wan, Gail C. Murphy, Xin Xia
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	A*	`conf`	Retrieve and Refine: Exemplar-based Neural Comment Generation. ASE Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin
2020	J	`jnl`	Retrieve and Refine: Exemplar-based Neural Comment Generation. CoRR Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin
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`	What Makes a Popular Academic AI Repository? CoRR Yuanrui Fan, Xin Xia, David Lo, Ahmed E. Hassan, Shanping Li
2020	J	`jnl`	What do Programmers Discuss about Deep Learning Frameworks. Empir. Softw. Eng. Junxiao Han, Emad Shihab, Zhiyuan Wan, Shuiguang Deng, Xin Xia
2020	A	`conf`	What risk? I don't understand. An Empirical Study on Users' Understanding of the Terms Used in Security Texts. AsiaCCS Tingmin Wu, Rongjunchen Zhang, Wanlun Ma, Sheng Wen, Xin Xia, Cécile Paris, Surya Nepal, Yang Xiang
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`	Wireframe-based UI Design Search through Image Autoencoder. ACM Trans. Softw. Eng. Methodol. Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xin Xia, Liming Zhu, John C. Grundy, Jinshui Wang
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	J	`jnl`	A manual inspection of Defects4J bugs and its implications for automatic program repair. Sci. China Inf. Sci. Jiajun Jiang, Yingfei Xiong, Xin Xia
2019	J	`jnl`	A two-phase transfer learning model for cross-project defect prediction. Inf. Softw. Technol. Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang
2019	A*	`conf`	ActionNet: vision-based workflow action recognition from programming screencasts. ICSE Dehai Zhao, Zhenchang Xing, Chunyang Chen, Xin Xia, Guoqiang Li
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`	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, 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	C	`conf`	Branch Use in Practice: A Large-Scale Empirical Study of 2, 923 Projects on GitHub. QRS Weiqin Zou, Weiqiang Zhang, Xin Xia, Reid Holmes, Zhenyu Chen
2019	—	`conf`	Characterization and Prediction of Popular Projects on GitHub. COMPSAC (1) Junxiao Han, Shuiguang Deng, Xin Xia, Dongjing Wang, Jianwei Yin
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`	Code Generation as a Dual Task of Code Summarization. NeurIPS Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin
2019	J	`jnl`	Code Generation as a Dual Task of Code Summarization. CoRR Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin
2019	A*	`conf`	Discovering, Explaining and Summarizing Controversial Discussions in Community Q&A Sites. ASE Xiaoxue Ren, Zhenchang Xing, Xin Xia, Guoqiang Li, Jianling Sun
2019	A	`conf`	Do Energy-Oriented Changes Hinder Maintainability? ICSME Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia
2019	J	`jnl`	Do Energy-oriented Changes Hinder Maintainability? CoRR Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia
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`	Duplicate Pull Request Detection: When Time Matters. Internetware Qingye Wang, Bowen Xu, Xin Xia, Ting Wang, Shanping Li
2019	A*	`conf`	How practitioners perceive coding proficiency. ICSE Xin Xia, Zhiyuan Wan, Pavneet Singh Kochhar, David Lo
2019	J	`jnl`	Improving defect prediction with deep forest. Inf. Softw. Technol. Tianchi Zhou, Xiaobing Sun, Xin Xia, Bin Li, Xiang Chen
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`	Multitask defect prediction. J. Softw. Evol. Process. Chao Ni, Xiang Chen, Xin Xia, Qing Gu, Yingquan Zhao
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`	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`	Revisiting supervised and unsupervised models for effort-aware just-in-time defect prediction. Empir. Softw. Eng. Qiao Huang, Xin Xia, David Lo
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	J	`jnl`	Software quality assessment model: a systematic mapping study. Sci. China Inf. Sci. Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang, Shanping Li
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	A	`conf`	What Do Developers Discuss about Biometric APIs? ICSME Zhe Jin, Kong-Yik Chee, Xin Xia
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	C	`conf`	Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures. APSEC Qiuyuan Chen, Lingfeng Bao, Li Li, Xin Xia, Liang Cai
2018	A	`conf`	Characterising deprecated Android APIs. MSR Li Li, Jun Gao, Tegawendé F. Bissyandé, Lei Ma, Xin Xia, Jacques Klein
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	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`	Cross-Project Change-Proneness Prediction. COMPSAC (1) Chao Liu, Dan Yang, Xin Xia, Meng Yan, Xiaohong Zhang
2018	A	`conf`	Deep code comment generation. ICPC Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin
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`	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	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	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	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	J	`jnl`	Personalized project recommendation on GitHub. Sci. China Inf. Sci. Xiaobing Sun, Wenyuan Xu, Xin Xia, Xiang Chen, Bin Li
2018	A	`conf`	Recommending frequently encountered bugs. ICPC Yun Zhang, David Lo, Xin Xia, Jing Jiang, Jianling Sun
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	A*	`conf`	Summarizing Source Code with Transferred API Knowledge. IJCAI Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
2018	—	`conf`	VT-revolution: interactive programming tutorials made possible. ESEC/SIGSOFT FSE Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
2018	A	`conf`	What design topics do developers discuss? ICPC Giovanni Viviani, Calahan Janik-Jones, Michalis Famelis, Xin Xia, Gail C. Murphy
2017	—	`conf`	A Systematic Mapping Study of Quality Assessment Models for Software Products. SATE Meng Yan, Xin Xia, Xiaohong Zhang, Ling Xu, Dan Yang
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	A	`conf`	Automating Aggregation for Software Quality Modeling. ICSME Meng Yan, Xin Xia, Xiaohong Zhang, Dan Yang, Ling Xu
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`	Bug report enrichment with application of automated fixer recommendation. ICPC Tao Zhang, Jiachi Chen, He Jiang, Xiapu Luo, Xin Xia
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	—	`conf`	Combining Collaborative Filtering and Topic Modeling for More Accurate Android Mobile App Library Recommendation. Internetware Huan Yu, Xin Xia, Xiaoqiong Zhao, Weiwei Qiu
2017	A	`conf`	Detecting similar repositories on GitHub. SANER Yun Zhang, David Lo, Pavneet Singh Kochhar, Xin Xia, Quanlai Li, Jianling Sun
2017	J	`jnl`	Enhancing developer recommendation with supplementary information via mining historical commits. J. Syst. Softw. Xiaobing Sun, Hui Yang, Xin Xia, Bin Li
2017	J	`jnl`	Extracting and analyzing time-series HCI data from screen-captured task videos. Empir. Softw. Eng. Lingfeng Bao, Jing Li, Zhenchang Xing, Xinyu Wang, Xin Xia, Bo Zhou
2017	A	`conf`	File-Level Defect Prediction: Unsupervised vs. Supervised Models. ESEM Meng Yan, Yicheng Fang, David Lo, Xin Xia, Xiaohong Zhang
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`	Learning to aggregate: an automated aggregation method for software quality model. ICSE (Companion Volume) Meng Yan, Xiaohong Zhang, Chao Liu, Jie Zou, Ling Xu, Xin Xia
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	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	—	`conf`	Revisiting the Correlation Between Alerts and Software Defects: A Case Study on MyFaces, Camel, and CXF. COMPSAC (1) Meng Yan, Xiaohong Zhang, Ling Xu, Haibo Hu, Song Sun, Xin Xia
2017	—	`conf`	Scalable Relevant Project Recommendation on GitHub. Internetware Wenyuan Xu, Xiaobing Sun, Xin Xia, Xiang Chen
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	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	—	`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	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`	Collective Personalized Change Classification With Multiobjective Search. IEEE Trans. Reliab. Xin Xia, David Lo, Xinyu Wang, Xiaohu Yang
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	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`	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`	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	A*	`conf`	Predicting semantically linkable knowledge in developer online forums via convolutional neural network. ASE Bowen Xu, Deheng Ye, Zhenchang Xing, Xin Xia, Guibin Chen, Shanping Li
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	A*	`conf`	ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. ASE Lingfeng Bao, Deheng Ye, Zhenchang Xing, Xin Xia, Xinyu Wang
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	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	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`	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	J	`jnl`	Multi-Factor Duplicate Question Detection in Stack Overflow. J. Comput. Sci. Technol. Yun Zhang, David Lo, Xin Xia, Jianling Sun
2015	J	`jnl`	TagCombine: Recommending Tags to Contents in Software Information Sites. J. Comput. Sci. Technol. Xinyu Wang, Xin Xia, 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	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 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	B	`conf`	Automatic Defect Categorization Based on Fault Triggering Conditions. ICECCS Xin Xia, David Lo, Xinyu Wang, Bo Zhou
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	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	A	`conf`	Cross-language bug localization. ICPC Xin Xia, David Lo, Xingen Wang, Chenyi Zhang, Xinyu Wang
2014	A*	`conf`	Fusion fault localizers. ASE Lucia, David Lo, Xin Xia
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
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`	An Empirical Study of Bugs in Software Build Systems. QSIC Xin Xia, Xiaozhen Zhou, David Lo, Xiaoqiong Zhao
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
2012	—	`conf`	Information Credibility on Twitter in Emergency Situation. PAISI Xin Xia, Xiaohu Yang, Chao Wu, Shanping Li, Linfeng Bao
2012	—	`conf`	Instance-Ranking: A New Perspective to Consider the Instance Dependency for Classification. PAKDD Workshops Xin Xia, Xiaohu Yang, Shanping Li, Chao Wu
2011	—	`conf`	RW.KNN: a proposed random walk KNN algorithm for multi-label classification. PIKM@CIKM Xin Xia, Xiaohu Yang, Shanping Li, Chao Wu, Linlin Zhou
2011	B	`conf`	Ranking in Co-effecting Multi-object/Link Types Networks. ICTAI Bo Zhou, Manna Wu, Xin Xia, Chao Wu