Heterogeneous Network Analysis of Developer Contribution in Bug Repositories. - Wen Zhang 001; Song Wang 009; Ye Yang; Qing Wang 001 (CSC, 2013)

DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories. - Song Wang 009; Wen Zhang 001; Ye Yang; Qing Wang 001 (ESEM, 2013)

FixerCache: unsupervised caching active developers for diverse bug triage. - Song Wang 009; Wen Zhang 001; Qing Wang 001 (ESEM, 2014)

Will This Bug-Fixing Change Break Regression Testing? - Xinye Tang; Song Wang 009; Ke Mao (ESEM, 2015)

DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. - Edmund Wong; Lei Zhang; Song Wang 009; Taiyue Liu; Lin Tan 001 (ICSE (1), 2015)

HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub. - Wen Zhang 001; Song Wang 009; Guangle Han; Ye Yang; Qing Wang 001 (Smart Modeling and Simulation for Complex Systems, 2015)

Towards Effectively Test Report Classification to Assist Crowdsourced Testing. - Junjie Wang 001; Qiang Cui 001; Qing Wang 001; Song Wang 009 (ESEM, 2016)

Automatically learning semantic features for defect prediction. - Song Wang 009; Taiyue Liu; Lin Tan 001 (ICSE, 2016)

Bugram: bug detection with n-gram language models. - Song Wang 009; Devin Chollak; Dana Movshovitz-Attias; Lin Tan 001 (ASE, 2016)

Local-based active classification of test report to assist crowdsourced testing. - Junjie Wang 001; Song Wang 009; Qiang Cui 001; Qing Wang 001 (ASE, 2016)

KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity. - Wen Zhang 001; Song Wang 009; Qing Wang 001 (Inf. Softw. Technol., 2016)

Domain Adaptation for Test Report Classification in Crowdsourced Testing. - Junjie Wang 001; Qiang Cui 001; Song Wang 009; Qing Wang 001 (ICSE-SEIP, 2017)

Multi-Objective Crowd Worker Selection in Crowdsourced Testing. - Qiang Cui 001; Song Wang 009; Junjie Wang 001; Yuanzhe Hu; Qing Wang 001; Mingshu Li 001 (SEKE, 2017)

QTEP: quality-aware test case prioritization. - Song Wang 009; Jaechang Nam; Lin Tan 001 (ESEC/SIGSOFT FSE, 2017)

Is there a "golden" feature set for static warning identification?: an experimental evaluation. - Junjie Wang 001; Song Wang 009; Qing Wang 001 (ESEM, 2018)

Designing bug detection rules for fewer false alarms. - Jaechang Nam; Song Wang 009; Yuan Xi; Lin Tan 001 (ICSE (Companion Volume), 2018)

Cutting Away the Confusion From Crowdtesting. - Junjie Wang 001; Mingyang Li; Song Wang 009; Tim Menzies; Qing Wang 001 (CoRR, 2018)

Leveraging Machine Learning to Improve Software Reliability. - Song Wang 009 (2018)

Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. - Song Wang 009; Chetan Bansal; Nachiappan Nagappan; Adithya Abraham Philip (PROMISE, 2019)

A bug finder refined by a large set of open-source projects. - Jaechang Nam; Song Wang 009; Yuan Xi; Lin Tan 001 (Inf. Softw. Technol., 2019)

Images don't lie: Duplicate crowdtesting reports detection with screenshot information. - Junjie Wang 001; Mingyang Li; Song Wang 009; Tim Menzies; Qing Wang 001 (Inf. Softw. Technol., 2019)

Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection. - Yuekai Huang; Junjie Wang 001; Song Wang 009; Zhe Liu 025; Yuanzhe Hu; Qing Wang 001 (ESEM, 2020)

Context-aware in-process crowdworker recommendation. - Junjie Wang 001; Ye Yang; Song Wang 009; Yuanzhe Hu; Dandan Wang; Qing Wang 001 (ICSE, 2020)

Deep Semantic Feature Learning for Software Defect Prediction. - Song Wang 009; Taiyue Liu; Jaechang Nam; Lin Tan 001 (IEEE Trans. Software Eng., 2020)

Characterizing and Predicting Good First Issues. - Yuekai Huang; Junjie Wang 001; Song Wang 009; Zhe Liu 025; Dandan Wang; Qing Wang 001 (ESEM, 2021)

Continuous Software Bug Prediction. - Song Wang 009; Junjie Wang 001; Jaechang Nam; Nachiappan Nagappan (ESEM, 2021)

Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? - Song Wang 009; Nishtha Shrestha; Abarna Kucheri Subburaman; Junjie Wang 001; Moshi Wei; Nachiappan Nagappan (ICSE, 2021)

Characterizing and Understanding Software Developer Networks in Security Development. - Song Wang 009; Nachiappan Nagappan (ISSRE, 2021)

SusTriage: Sustainable Bug Triage with Multi-modal Ensemble Learning. - Wen Zhang 001; Jiangpeng Zhao; Song Wang 009 (WI/IAT (Workshop/Special Session), 2021)

Explainable Software Defect Prediction: Are We There Yet? - Jiho Shin; Reem Aleithan; Jaechang Nam; Junjie Wang 001; Song Wang 009 (CoRR, 2021)

Large-scale intent analysis for identifying large-review-effort code changes. - Song Wang 009; Chetan Bansal; Nachiappan Nagappan (Inf. Softw. Technol., 2021)

Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. - Junjie Wang 001; Song Wang 009; Jianfeng Chen; Tim Menzies; Qiang Cui 001; Miao Xie; Qing Wang 001 (IEEE Trans. Software Eng., 2021)

A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. - Yingling Li; Xing Che; Yuekai Huang; Junjie Wang 001; Song Wang 009; Yawen Wang; Qing Wang 001 (ESEM, 2022)

CLEAR: Contrastive Learning for API Recommendation. - Moshi Wei; Nima Shiri Harzevili; Yuchao Huang; Junjie Wang 001; Song Wang 009 (ICSE, 2022)

Find bugs in static bug finders. - Junjie Wang 001; Yuchao Huang; Song Wang 009; Qing Wang 001 (ICPC, 2022)

Automatic Comment Generation via Multi-Pass Deliberation. - Fangwen Mu; Xiao Chen 015; Lin Shi 006; Song Wang 009; Qing Wang 001 (ASE, 2022)

Are we building on the rock? on the importance of data preprocessing for code summarization. - Lin Shi 006; Fangwen Mu; Xiao Chen 015; Song Wang 009; Junjie Wang 001; Ye Yang; Ge Li 001; Xin Xia 001; Qing Wang 001 (ESEC/SIGSOFT FSE, 2022)

API recommendation for machine learning libraries: how far are we? - Moshi Wei; Yuchao Huang; Junjie Wang 001; Jiho Shin; Nima Shiri Harzevili; Song Wang 009 (ESEC/SIGSOFT FSE, 2022)

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. - Nima Shiri Harzevili; Jiho Shin; Junjie Wang 001; Song Wang 009 (CoRR, 2022)

Yet another combination of IR- and neural-based comment generation. - Yuchao Huang; Moshi Wei; Song Wang 009; Junjie Wang 001; Qing Wang 001 (Inf. Softw. Technol., 2022)

Context- and Fairness-Aware In-Process Crowdworker Recommendation. - Junjie Wang 001; Ye Yang; Song Wang 009; Jun Hu 015; Qing Wang 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Context-Aware Personalized Crowdtesting Task Recommendation. - Junjie Wang 001; Ye Yang; Song Wang 009; Chunyang Chen 001; Dandan Wang; Qing Wang 001 (IEEE Trans. Software Eng., 2022)

An Empirical Study on the Stability of Explainable Software Defect Prediction. - Jiho Shin; Reem Aleithan; Jaechang Nam; Junjie Wang 001; Nima Shiri Harzevili; Song Wang 009 (APSEC, 2023)

Context-aware Bug Reproduction for Mobile Apps. - Yuchao Huang; Junjie Wang 001; Zhe Liu 025; Song Wang 009; Chunyang Chen 001; Mingyang Li; Qing Wang 001 (ICSE, 2023)

Developer-Intent Driven Code Comment Generation. - Fangwen Mu; Xiao Chen 015; Lin Shi 006; Song Wang 009; Qing Wang 001 (ICSE, 2023)

Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? - Nima Shiri Harzevili; Jiho Shin; Junjie Wang 001; Song Wang 009; Nachiappan Nagappan (ISSRE, 2023)

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. - Nima Shiri Harzevili; Jiho Shin; Junjie Wang 001; Song Wang 009; Nachiappan Nagappan (MSR, 2023)

Security Knowledge-Guided Fuzzing of Deep Learning Libraries. - Nima Shiri Harzevili; Hung Viet Pham; Song Wang 009 (CoRR, 2023)

A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. - Nima Shiri Harzevili; Alvine Boaye Belle; Junjie Wang 001; Song Wang 009; Zhen Ming Jiang; Nachiappan Nagappan (CoRR, 2023)

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. - Arunkaleeshwaran Narayanan; Nima Shiri Harzevili; Junjie Wang 001; Lin Shi 006; Moshi Wei; Song Wang 009 (CoRR, 2023)

Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? - Nima Shiri Harzevili; Jiho Shin; Junjie Wang 001; Song Wang 009; Nachiappan Nagappan (CoRR, 2023)

Software Testing with Large Language Model: Survey, Landscape, and Vision. - Junjie Wang 001; Yuchao Huang; Chunyang Chen 001; Zhe Liu 025; Song Wang 009; Qing Wang 001 (CoRR, 2023)

A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. - Mohammad Mahdi Mohajer; Alvine Boaye Belle; Nima Shiri Harzevili; Junjie Wang 001; Hadi Hemmati; Song Wang 009; Zhen Ming Jiang (CoRR, 2023)

Automated Test Case Generation Using Code Models and Domain Adaptation. - Sepehr Hashtroudi; Jiho Shin; Hadi Hemmati; Song Wang 009 (CoRR, 2023)

Benchmarking Deep Learning Fuzzers. - Nima Shiri Harzevili; Hung Viet Pham; Song Wang 009 (CoRR, 2023)

Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks. - Jiho Shin; Clark Tang; Tahmineh Mohati; Maleknaz Nayebi; Song Wang 009; Hadi Hemmati (CoRR, 2023)

ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification. - Fangwen Mu; Lin Shi 006; Song Wang 009; Zhuohao Yu 002; Binquan Zhang; Chenxue Wang; Shichao Liu; Qing Wang 001 (CoRR, 2023)

SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. - Mohammad Mahdi Mohajer; Reem Aleithan; Nima Shiri Harzevili; Moshi Wei; Alvine Boaye Belle; Hung Viet Pham; Song Wang 009 (CoRR, 2023)

The Last Decade in Review: Tracing the Evolution of Safety Assurance Cases through a Comprehensive Bibliometric Analysis. - Mithila Sivakumar; Alvine Boaye Belle; Jinjun Shan; Opeyemi Adesina; Song Wang 009; Marsha Chechik; Marios Fokaefs; Kimya Khakzad Shahandashti; Oluwafemi Odu (CoRR, 2023)

A Survey on Query-based API Recommendation. - Moshi Wei; Nima Shiri Harzevili; Alvine Boaye Belle; Junjie Wang 001; Lin Shi 006; Jinqiu Yang 001; Song Wang 009; Zhen Ming Jiang (CoRR, 2023)

SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning. - Wen Zhang 001; Jiangpeng Zhao; Rui Peng 001; Song Wang 009; Ye Yang (IEEE Trans. Reliab., 2023)

CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. - Moshi Wei; Yuchao Huang; Jinqiu Yang 001; Junjie Wang 001; Song Wang 009 (IEEE Trans. Reliab., 2023)

Effectiveness of ChatGPT for Static Analysis: How Far Are We? - Mohammad Mahdi Mohajer; Reem Aleithan; Nima Shiri Harzevili; Moshi Wei; Alvine Boaye Belle; Hung Viet Pham; Song Wang 009 (AIware, 2024)

Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation. - Mohammad Mahdi Mohajer; Alvine Boaye Belle; Nima Shiri Harzevili; Junjie Wang 001; Hadi Hemmati; Song Wang 009; Zhen Ming (Jack) Jiang (BIAS, 2024)

Assessing the Impact of GPT-4 Turbo in Generating Defeaters for Assurance Cases. - Kimya Khakzad Shahandashti; Mithila Sivakumar; Mohammad Mahdi Mohajer; Alvine Boaye Belle; Song Wang 009; Timothy Lethbridge (FORGE, 2024)

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. - Yuchao Huang; Junjie Wang 001; Zhe Liu 025; Yawen Wang; Song Wang 009; Chunyang Chen 001; Yuanzhe Hu; Qing Wang 001 (ICSE, 2024)

Demystifying and Detecting Misuses of Deep Learning APIs. - Moshi Wei; Nima Shiri Harzevili; Yuekai Huang; Jinqiu Yang 001; Junjie Wang 001; Song Wang 009 (ICSE, 2024)

Domain Adaptation for Code Model-Based Unit Test Case Generation. - Jiho Shin; Sepehr Hashtroudi; Hadi Hemmati; Song Wang 009 (ISSTA, 2024)

Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions. - Yuekai Huang; Junjie Wang 001; Song Wang 009; Rupeng Zhang; Qing Wang 001 (QRS, 2024)

Using GPT-4 Turbo to Automatically Identify Defeaters in Assurance Cases. - Kimya Khakzad Shahandashti; Alvine Boaye Belle; Mohammad Mahdi Mohajer; Oluwafemi Odu; Timothy C. Lethbridge; Hadi Hemmati; Song Wang 009 (RE Workshops, 2024)

I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems. - Mithila Sivakumar; Alvine Boaye Belle; Kimya Khakzad Shahandashti; Oluwafemi Odu; Hadi Hemmati; Segla Kpodjedo; Song Wang 009; Opeyemi O. Adesina (CoRR, 2024)

Evaluating the Effectiveness of GPT-4 Turbo in Creating Defeaters for Assurance Cases. - Kimya Khakzad Shahandashti; Mithila Sivakumar; Mohammad Mahdi Mohajer; Alvine Boaye Belle; Song Wang 009; Timothy C. Lethbridge (CoRR, 2024)

A PRISMA-Driven Bibliometric Analysis of the Scientific Literature on Assurance Case Patterns. - Oluwafemi Odu; Alvine Boaye Belle; Song Wang 009; Kimya Khakzad Shahandashti (CoRR, 2024)

EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation. - Hamed Taherkhani; Melika Sepindband; Hung Viet Pham; Song Wang 009; Hadi Hemmati (CoRR, 2024)

Program Slicing in the Era of Large Language Models. - Kimya Khakzad Shahandashti; Mohammad Mahdi Mohajer; Alvine Boaye Belle; Song Wang 009; Hadi Hemmati (CoRR, 2024)

Retrieval-Augmented Test Generation: How Far Are We? - Jiho Shin; Reem Aleithan; Hadi Hemmati; Song Wang 009 (CoRR, 2024)

Checker Bug Detection and Repair in Deep Learning Libraries. - Nima Shiri Harzevili; Mohammad Mahdi Mohajer; Jiho Shin; Moshi Wei; Gias Uddin 001; Jinqiu Yang 001; Junjie Wang 001; Song Wang 009; Zhen Ming Jiang; Nachiappan Nagappan (CoRR, 2024)

SWE-Bench+: Enhanced Coding Benchmark for LLMs. - Reem Aleithan; Haoran Xue; Mohammad Mahdi Mohajer; Elijah Nnorom; Gias Uddin 001; Song Wang 009 (CoRR, 2024)

CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification. - Fangwen Mu; Junjie Wang 001; Zhuohao Yu 002; Lin Shi 006; Song Wang 009; Mingyang Li; Qing Wang 001 (CoRR, 2024)

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? - Soumit Kanti Saha; Fazle Rabbi; Song Wang 009; Jinqiu Yang 001 (CoRR, 2024)

ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification. - Fangwen Mu; Lin Shi 006; Song Wang 009; Zhuohao Yu 002; Binquan Zhang; Chenxue Wang; Shichao Liu; Qing Wang 001 (Proc. ACM Softw. Eng., 2024)

The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. - Jiho Shin; Moshi Wei; Junjie Wang 001; Lin Shi 006; Song Wang 009 (ACM Trans. Softw. Eng. Methodol., 2024)

Software Testing With Large Language Models: Survey, Landscape, and Vision. - Junjie Wang 001; Yuchao Huang; Chunyang Chen 001; Zhe Liu 025; Song Wang 009; Qing Wang 001 (IEEE Trans. Software Eng., 2024)

Assessing Evaluation Metrics for Neural Test Oracle Generation. - Jiho Shin; Hadi Hemmati; Moshi Wei; Song Wang 009 (IEEE Trans. Software Eng., 2024)

Bias Unveiled: Investigating Social Bias in LLM-Generated Code. - Lin Ling; Fazle Rabbi; Song Wang 009; Jinqiu Yang 001 (AAAI, 2025)

LLM-Based Safety Case Generation for Baidu Apollo: Are We there Yet? - Oluwafemi Odu; Alvine Boaye Belle; Song Wang 009 (CAIN, 2025)

Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach. - Melika Sepidband; Hamed Taherkhani; Song Wang 009; Hadi Hemmati (COMPSAC, 2025)

Program Slicing in the Era of Large Language Models. - Kimya Khakzad Shahandashti; Mohammad Mahdi Mohajer; Alvine Boaye Belle; Song Wang 009; Hadi Hemmati Lassonde (COMPSAC, 2025)

Chatgpt Inaccuracy Mitigation During Technical Report Understanding: Are we There Yet? - Salma Begum Tamanna; Gias Uddin 001; Song Wang 009; Lan Xia; Longyu Zhang (ICSE, 2025)

Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code. - Jiho Shin; Clark Tang; Tahmineh Mohati; Maleknaz Nayebi; Song Wang 009; Hadi Hemmati (MSR, 2025)

Automatic instantiation of assurance cases from patterns using large language models. - Oluwafemi Odu; Alvine B. Belle; Song Wang 009; Segla Kpodjedo; Timothy C. Lethbridge; Hadi Hemmati (J. Syst. Softw., 2025)

History-Driven Fuzzing for Deep Learning Libraries. - Nima Shiri Harzevili; Mohammad Mahdi Mohajer; Moshi Wei; Hung Viet Pham; Song Wang 009 (ACM Trans. Softw. Eng. Methodol., 2025)

Deep API Sequence Generation via Golden Solution Samples and API Seeds. - Yuekai Huang; Junjie Wang 001; Song Wang 009; Moshi Wei; Lin Shi 006; Zhe Liu 025; Qing Wang 001 (ACM Trans. Softw. Eng. Methodol., 2025)

A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning. - Nima Shiri Harzevili; Alvine Boaye Belle; Junjie Wang 001; Song Wang 009; Zhen Ming (Jack) Jiang; Nachiappan Nagappan (ACM Comput. Surv., 2025)

One Sentence Can Kill the Bug: Auto-Replay Mobile App Crashes From One-Sentence Overviews. - Yuchao Huang; Junjie Wang 001; Zhe Liu 025; Mingyang Li; Song Wang 009; Chunyang Chen 001; Yuanzhe Hu; Qing Wang 001 (IEEE Trans. Software Eng., 2025)

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection. - Md Basim Uddin Ahmed; Nima Shiri Harzevili; Jiho Shin; Hung Viet Pham; Song Wang 009 (CoRR, 2025)

EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair. - Fangwen Mu; Junjie Wang 001; Lin Shi 006; Song Wang 009; Shoubin Li; Qing Wang 001 (CoRR, 2025)

PAGENT: Learning to Patch Software Engineering Agents. - Haoran Xue; Gias Uddin 001; Song Wang 009 (CoRR, 2025)

StaAgent: An Agentic Framework for Testing Static Analyzers. - Elijah Nnorom; Md Basim Uddin Ahmed; Jiho Shin; Hung Viet Pham; Song Wang 009 (CoRR, 2025)

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights. - Zhili Zeng; Kimya Khakzad Shahandashti; Alvine Boaye Belle; Song Wang 009; Zhen Ming Jiang (CoRR, 2025)