Song Wang - RankMe

126 papers A* 13A 15B 3C 3Journal 77Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Engineering Pitfalls in AI Coding Tools: An Empirical Study of Bugs in Claude Code, Codex, and Gemini CLI. CoRR Ruixin Zhang, Wuyang Dai, Hung Viet Pham, Gias Uddin, Jinqiu Yang, Song Wang
2026	J	`jnl`	Evaluating API-Level Deep Learning Fuzzers: A Comprehensive Benchmarking Study. ACM Trans. Softw. Eng. Methodol. Nima Shiri Harzevili, Moshi Wei, Mohammad Mahdi Mohajer, Hung Viet Pham, Song Wang
2026	J	`jnl`	SparseFraudNet: A Graph-based Approach for Cold-start Fraud Detection with Information Aggregation. ACM Trans. Inf. Syst. Wen Zhang, Rui Li, Quan Bai, Song Wang
2025	J	`jnl`	A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights. CoRR Zhili Zeng, Kimya Khakzad Shahandashti, Alvine Boaye Belle, Song Wang, Zhen Ming Jiang
2025	J	`jnl`	A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning. ACM Comput. Surv. Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming (Jack) Jiang, Nachiappan Nagappan
2025	J	`jnl`	An Empirical Study of Reasoning Steps in Thinking Code LLMs. CoRR Haoran Xue, Gias Uddin, Song Wang
2025	J	`jnl`	AttResRec: Learning User Credibility for Attack Resistant Matrix Factorization Recommendation. IEEE Trans. Serv. Comput. Jiangpeng Zhao, Wen Zhang, Song Wang, Quan Bai, Kuien Liu
2025	J	`jnl`	Automatic instantiation of assurance cases from patterns using large language models. J. Syst. Softw. Oluwafemi Odu, Alvine B. Belle, Song Wang, Segla Kpodjedo, Timothy C. Lethbridge, Hadi Hemmati
2025	J	`jnl`	BabelCoder: Agentic Code Translation with Specification Alignment. CoRR Fazle Rabbi, Soumit Kanti Saha, Tri Minh Triet Pham, Song Wang, Jinqiu Yang
2025	A*	`conf`	Bias Unveiled: Investigating Social Bias in LLM-Generated Code. AAAI Lin Ling, Fazle Rabbi, Song Wang, Jinqiu Yang
2025	J	`jnl`	BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions. CoRR Yinghang Ma, Jiho Shin, Léuson M. P. da Silva, Zhen Ming Jiang, Song Wang, Foutse Khomh, Shin Hwei Tan
2025	A*	`conf`	Chatgpt Inaccuracy Mitigation During Technical Report Understanding: Are we There Yet? ICSE Salma Begum Tamanna, Gias Uddin, Song Wang, Lan Xia, Longyu Zhang
2025	J	`jnl`	Cross-project defect prediction based on autoencoder with dynamic adversarial adaptation. Appl. Intell. Wen Zhang, Jiangpeng Zhao, Guangjie Qin, Song Wang
2025	J	`jnl`	Deep API Sequence Generation via Golden Solution Samples and API Seeds. ACM Trans. Softw. Eng. Methodol. Yuekai Huang, Junjie Wang, Song Wang, Moshi Wei, Lin Shi, Zhe Liu, Qing Wang
2025	J	`jnl`	Demystifying Errors in LLM Reasoning Traces: An Empirical Study of Code Execution Simulation. CoRR Mohammad Abdollahi, Khandaker Rifah Tasnia, Soumit Kanti Saha, Jinqiu Yang, Song Wang, Hadi Hemmati
2025	J	`jnl`	EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair. CoRR Fangwen Mu, Junjie Wang, Lin Shi, Song Wang, Shoubin Li, Qing Wang
2025	B	`conf`	Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach. COMPSAC Melika Sepidband, Hamed Taherkhani, Song Wang, Hadi Hemmati
2025	J	`jnl`	Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach. CoRR Melika Sepidband, Hamed Taherkhani, Song Wang, Hadi Hemmati
2025	J	`jnl`	GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. Wen Zhang, Jiangpeng Zhao, Lean Yu, Song Wang
2025	J	`jnl`	History-Driven Fuzzing for Deep Learning Libraries. ACM Trans. Softw. Eng. Methodol. Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Moshi Wei, Hung Viet Pham, Song Wang
2025	B	`conf`	LLM-Based Safety Case Generation for Baidu Apollo: Are We there Yet? CAIN Oluwafemi Odu, Alvine Boaye Belle, Song Wang
2025	J	`jnl`	LLMs as Judges: Toward The Automatic Review of GSN-compliant Assurance Cases. CoRR Gerhard Yu, Mithila Sivakumar, Alvine B. Belle, Soude Ghari, Song Wang, Timothy C. Lethbridge
2025	J	`jnl`	One Sentence Can Kill the Bug: Auto-Replay Mobile App Crashes From One-Sentence Overviews. IEEE Trans. Software Eng. Yuchao Huang, Junjie Wang, Zhe Liu, Mingyang Li, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang
2025	J	`jnl`	PAGENT: Learning to Patch Software Engineering Agents. CoRR Haoran Xue, Gias Uddin, Song Wang
2025	B	`conf`	Program Slicing in the Era of Large Language Models. COMPSAC Kimya Khakzad Shahandashti, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Hadi Hemmati Lassonde
2025	A	`conf`	Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code. MSR Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati
2025	J	`jnl`	Prompt, Synthesize, Fine-Tune: A Secure Code Generation Recipe. CoRR Junjie Li, Fazle Rabbi, Bo Yang, Song Wang, Jinqiu Yang
2025	J	`jnl`	SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection. CoRR Md Basim Uddin Ahmed, Nima Shiri Harzevili, Jiho Shin, Hung Viet Pham, Song Wang
2025	J	`jnl`	StaAgent: An Agentic Framework for Testing Static Analyzers. CoRR Elijah Nnorom, Md Basim Uddin Ahmed, Jiho Shin, Hung Viet Pham, Song Wang
2024	J	`jnl`	A PRISMA-Driven Bibliometric Analysis of the Scientific Literature on Assurance Case Patterns. CoRR Oluwafemi Odu, Alvine Boaye Belle, Song Wang, Kimya Khakzad Shahandashti
2024	J	`jnl`	Assessing Evaluation Metrics for Neural Test Oracle Generation. IEEE Trans. Software Eng. Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang
2024	—	`conf`	Assessing the Impact of GPT-4 Turbo in Generating Defeaters for Assurance Cases. FORGE Kimya Khakzad Shahandashti, Mithila Sivakumar, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Timothy Lethbridge
2024	J	`jnl`	Automatic Instantiation of Assurance Cases from Patterns Using Large Language Models. CoRR Oluwafemi Odu, Alvine B. Belle, Song Wang, Segla Kpodjedo, Timothy C. Lethbridge, Hadi Hemmati
2024	J	`jnl`	Bias Unveiled: Investigating Social Bias in LLM-Generated Code. CoRR Lin Ling, Fazle Rabbi, Song Wang, Jinqiu Yang
2024	J	`jnl`	ChatGPT Inaccuracy Mitigation during Technical Report Understanding: Are We There Yet? CoRR Salma Begum Tamanna, Gias Uddin, Song Wang, Lan Xia, Longyu Zhang
2024	J	`jnl`	Checker Bug Detection and Repair in Deep Learning Libraries. CoRR Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin, Moshi Wei, Gias Uddin, Jinqiu Yang, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan
2024	J	`jnl`	ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification. Proc. ACM Softw. Eng. Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, Qing Wang
2024	J	`jnl`	CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification. CoRR Fangwen Mu, Junjie Wang, Zhuohao Yu, Lin Shi, Song Wang, Mingyang Li, Qing Wang
2024	A*	`conf`	CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. ICSE Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang
2024	A*	`conf`	Demystifying and Detecting Misuses of Deep Learning APIs. ICSE Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, Song Wang
2024	A	`conf`	Domain Adaptation for Code Model-Based Unit Test Case Generation. ISSTA Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati, Song Wang
2024	J	`jnl`	EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation. CoRR Hamed Taherkhani, Melika Sepindband, Hung Viet Pham, Song Wang, Hadi Hemmati
2024	—	`conf`	Effectiveness of ChatGPT for Static Analysis: How Far Are We? AIware Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang
2024	J	`jnl`	Evaluating the Effectiveness of GPT-4 Turbo in Creating Defeaters for Assurance Cases. CoRR Kimya Khakzad Shahandashti, Mithila Sivakumar, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Timothy C. Lethbridge
2024	—	`conf`	Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation. BIAS Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming (Jack) Jiang
2024	J	`jnl`	I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems. CoRR Mithila Sivakumar, Alvine Boaye Belle, Kimya Khakzad Shahandashti, Oluwafemi Odu, Hadi Hemmati, Segla Kpodjedo, Song Wang, Opeyemi O. Adesina
2024	J	`jnl`	Program Slicing in the Era of Large Language Models. CoRR Kimya Khakzad Shahandashti, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Hadi Hemmati
2024	J	`jnl`	Retrieval-Augmented Test Generation: How Far Are We? CoRR Jiho Shin, Reem Aleithan, Hadi Hemmati, Song Wang
2024	J	`jnl`	SWE-Bench+: Enhanced Coding Benchmark for LLMs. CoRR Reem Aleithan, Haoran Xue, Mohammad Mahdi Mohajer, Elijah Nnorom, Gias Uddin, Song Wang
2024	J	`jnl`	Software Testing With Large Language Models: Survey, Landscape, and Vision. IEEE Trans. Software Eng. Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang
2024	J	`jnl`	Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? CoRR Soumit Kanti Saha, Fazle Rabbi, Song Wang, Jinqiu Yang
2024	J	`jnl`	The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. ACM Trans. Softw. Eng. Methodol. Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang
2024	—	`conf`	Using GPT-4 Turbo to Automatically Identify Defeaters in Assurance Cases. RE Workshops Kimya Khakzad Shahandashti, Alvine Boaye Belle, Mohammad Mahdi Mohajer, Oluwafemi Odu, Timothy C. Lethbridge, Hadi Hemmati, Song Wang
2024	C	`conf`	Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions. QRS Yuekai Huang, Junjie Wang, Song Wang, Rupeng Zhang, Qing Wang
2023	J	`jnl`	A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. CoRR Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang
2023	J	`jnl`	A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. CoRR Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan
2023	J	`jnl`	A Survey on Query-based API Recommendation. CoRR Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang
2023	C	`conf`	An Empirical Study on the Stability of Explainable Software Defect Prediction. APSEC Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang
2023	J	`jnl`	Assessing Evaluation Metrics for Neural Test Oracle Generation. CoRR Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang
2023	J	`jnl`	Automated Test Case Generation Using Code Models and Domain Adaptation. CoRR Sepehr Hashtroudi, Jiho Shin, Hadi Hemmati, Song Wang
2023	J	`jnl`	Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? CoRR Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
2023	A	`conf`	Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? ISSRE Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
2023	J	`jnl`	Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. CoRR Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang
2023	J	`jnl`	Benchmarking Deep Learning Fuzzers. CoRR Nima Shiri Harzevili, Hung Viet Pham, Song Wang
2023	A	`conf`	Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. MSR Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
2023	J	`jnl`	ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification. CoRR Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, Qing Wang
2023	J	`jnl`	CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. IEEE Trans. Reliab. Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang
2023	A*	`conf`	Context-aware Bug Reproduction for Mobile Apps. ICSE Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang
2023	J	`jnl`	CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. CoRR Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang
2023	A*	`conf`	Developer-Intent Driven Code Comment Generation. ICSE Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang
2023	J	`jnl`	Developer-Intent Driven Code Comment Generation. CoRR Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang
2023	J	`jnl`	Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks. CoRR Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati
2023	J	`jnl`	Security Knowledge-Guided Fuzzing of Deep Learning Libraries. CoRR Nima Shiri Harzevili, Hung Viet Pham, Song Wang
2023	J	`jnl`	SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. CoRR Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang
2023	J	`jnl`	Software Testing with Large Language Model: Survey, Landscape, and Vision. CoRR Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang
2023	J	`jnl`	SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning. IEEE Trans. Reliab. Wen Zhang, Jiangpeng Zhao, Rui Peng, Song Wang, Ye Yang
2023	J	`jnl`	The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. CoRR Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang
2023	J	`jnl`	The Last Decade in Review: Tracing the Evolution of Safety Assurance Cases through a Comprehensive Bibliometric Analysis. CoRR Mithila Sivakumar, Alvine Boaye Belle, Jinjun Shan, Opeyemi Adesina, Song Wang, Marsha Chechik, Marios Fokaefs, Kimya Khakzad Shahandashti, Oluwafemi Odu
2022	A	`conf`	A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. ESEM Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang
2022	—	`conf`	API recommendation for machine learning libraries: how far are we? ESEC/SIGSOFT FSE Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang
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	A*	`conf`	Automatic Comment Generation via Multi-Pass Deliberation. ASE Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang
2022	J	`jnl`	Automatic Comment Generation via Multi-Pass Deliberation. CoRR Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang
2022	A*	`conf`	CLEAR: Contrastive Learning for API Recommendation. ICSE Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang
2022	J	`jnl`	Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. CoRR Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang
2022	J	`jnl`	Context- and Fairness-Aware In-Process Crowdworker Recommendation. ACM Trans. Softw. Eng. Methodol. Junjie Wang, Ye Yang, Song Wang, Jun Hu, Qing Wang
2022	J	`jnl`	Context-Aware Personalized Crowdtesting Task Recommendation. IEEE Trans. Software Eng. Junjie Wang, Ye Yang, Song Wang, Chunyang Chen, Dandan Wang, Qing Wang
2022	A	`conf`	Find bugs in static bug finders. ICPC Junjie Wang, Yuchao Huang, Song Wang, Qing Wang
2022	J	`jnl`	Yet another combination of IR- and neural-based comment generation. Inf. Softw. Technol. Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang
2021	A*	`conf`	Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? ICSE Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan
2021	J	`jnl`	Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. IEEE Trans. Software Eng. Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang
2021	A	`conf`	Characterizing and Predicting Good First Issues. ESEM Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Dandan Wang, Qing Wang
2021	A	`conf`	Characterizing and Understanding Software Developer Networks in Security Development. ISSRE Song Wang, Nachiappan Nagappan
2021	J	`jnl`	CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing. CoRR Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang
2021	A	`conf`	Continuous Software Bug Prediction. ESEM Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan
2021	J	`jnl`	Explainable Software Defect Prediction: Are We There Yet? CoRR Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Song Wang
2021	J	`jnl`	Find Bugs in Static Bug Finders. CoRR Junjie Wang, Yuchao Huang, Song Wang, Qing Wang
2021	J	`jnl`	Large-scale intent analysis for identifying large-review-effort code changes. Inf. Softw. Technol. Song Wang, Chetan Bansal, Nachiappan Nagappan
2021	—	`conf`	SusTriage: Sustainable Bug Triage with Multi-modal Ensemble Learning. WI/IAT (Workshop/Special Session) Wen Zhang, Jiangpeng Zhao, Song Wang
2021	J	`jnl`	Yet Another Combination of IR- and Neural-based Comment Generation. CoRR Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang
2020	A*	`conf`	Context-aware in-process crowdworker recommendation. ICSE Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang
2020	J	`jnl`	Deep Semantic Feature Learning for Software Defect Prediction. IEEE Trans. Software Eng. Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan
2020	A	`conf`	Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection. ESEM Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, Qing Wang
2019	J	`jnl`	A bug finder refined by a large set of open-source projects. Inf. Softw. Technol. Jaechang Nam, Song Wang, Yuan Xi, Lin Tan
2019	J	`jnl`	Characterizing and Understanding Software Developer Networks in Security Development. CoRR Song Wang, Nachi Nagappan
2019	J	`jnl`	Images don't lie: Duplicate crowdtesting reports detection with screenshot information. Inf. Softw. Technol. Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang
2019	—	`conf`	Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. PROMISE Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip
2018	J	`jnl`	Cutting Away the Confusion From Crowdtesting. CoRR Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang
2018	—	`conf`	Designing bug detection rules for fewer false alarms. ICSE (Companion Volume) Jaechang Nam, Song Wang, Yuan Xi, Lin Tan
2018	A	`conf`	Is there a "golden" feature set for static warning identification?: an experimental evaluation. ESEM Junjie Wang, Song Wang, Qing Wang
2018	—	`—`	Leveraging Machine Learning to Improve Software Reliability. Song Wang
2017	—	`conf`	Domain Adaptation for Test Report Classification in Crowdsourced Testing. ICSE-SEIP Junjie Wang, Qiang Cui, Song Wang, Qing Wang
2017	C	`conf`	Multi-Objective Crowd Worker Selection in Crowdsourced Testing. SEKE Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li
2017	—	`conf`	QTEP: quality-aware test case prioritization. ESEC/SIGSOFT FSE Song Wang, Jaechang Nam, Lin Tan
2016	A*	`conf`	Automatically learning semantic features for defect prediction. ICSE Song Wang, Taiyue Liu, Lin Tan
2016	A*	`conf`	Bugram: bug detection with n-gram language models. ASE Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan
2016	J	`jnl`	KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity. Inf. Softw. Technol. Wen Zhang, Song Wang, Qing Wang
2016	A*	`conf`	Local-based active classification of test report to assist crowdsourced testing. ASE Junjie Wang, Song Wang, Qiang Cui, Qing Wang
2016	A	`conf`	Towards Effectively Test Report Classification to Assist Crowdsourced Testing. ESEM Junjie Wang, Qiang Cui, Qing Wang, Song Wang
2015	—	`conf`	DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. ICSE (1) Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan
2015	—	`ch.`	HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub. Smart Modeling and Simulation for Complex Systems Wen Zhang, Song Wang, Guangle Han, Ye Yang, Qing Wang
2015	A	`conf`	Will This Bug-Fixing Change Break Regression Testing? ESEM Xinye Tang, Song Wang, Ke Mao
2014	A	`conf`	FixerCache: unsupervised caching active developers for diverse bug triage. ESEM Song Wang, Wen Zhang, Qing Wang
2013	A	`conf`	DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories. ESEM Song Wang, Wen Zhang, Ye Yang, Qing Wang
2013	—	`conf`	Heterogeneous Network Analysis of Developer Contribution in Bug Repositories. CSC Wen Zhang, Song Wang, Ye Yang, Qing Wang