C Conference Proceeding | J Journal Article | W Workshop Proceeding | T Technical Report
Evaluating API-Level Deep Learning Fuzzers: A Comprehensive Benchmarking Study
Nima Shiri Harzevili, Moshi Wei, Mohammad Mahdi Mohajer, Hung Viet Pham, and Song Wang
ACM Transactions on Software Engineering and Methodology (TOSEM 2025)
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Program Slicing in the Era of Large Language Models
Kimya Khakzad Shahandashti, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, and Hadi Hemmati
The 49th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2025)
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Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach
Melika Sepidband, Hamed Taherkhani, Song Wang, and Hadi Hemmati
The 49th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2025)
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One Sentence Can Kill the Bug: Auto-replay Mobile App Crashes from One-sentence Overviews
Yuchao Huang, Junjie Wang, Zhe Liu, Mingyang Li, Song Wang, Chunyang Chen, Yuanzhe Hu, and Qing Wang
IEEE Transaction on Software Engineering (TSE 2025)
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Automatic Instantiation of Assurance Cases from Patterns Using Large Language Models
Oluwafemi Odu, Alvine Boaye Belle, Song Wang, Kpodjedo Sègla, Hadi Hemmati, Timothy Lethbridge
Journal of Systems and Software (JSS 2025)
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Pre-trained Models for Bytecode Instructions
Donggyu Kim, Taemin Kim, Ji-ho Shin, Song Wang, Heeyoul Choi, Jaechang Nam
18th IEEE International Conference on Software Testing, Verification and Validation (ICST 2025 Vision Track)
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LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?
Oluwafemi Odu, Alvine Boaye Belle, Song Wang
4th International Conference on AI Engineering (CAIN 2025)
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Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code
Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati
22nd International Conference on Mining Software Repositories (MSR 2025)
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The Ripple Effect of Vulnerabilities in Maven Central: Prevalence, Propagation, and Mitigation Challenges
Ehtisham Ul Haq, Song Wang, Robert S Allison
22nd International Conference on Mining Software Repositories (MSR 2025 Mining Challenge Track)
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Bias Unveiled: Investigating Social Bias in LLM-Generated Code
Lin Ling, Fazle Rabbi, Song Wang, Jinqiu Yang
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)
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ChatGPT Inaccuracy Mitigation during Technical Report Understanding: Are We There Yet?
Salma Begum Tamanna, Gias Uddin, Song Wang, Lan Xia, Longyu Zhang
47th International Conference on Software Engineering (ICSE 2025)
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A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning
Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Ming Zhen (Jack) Jiang, and Nachiappan Nagappan
ACM Computing Surveys 2024
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Deep API Sequence Generation via Golden Solution Samples and API Seeds
Huang Yuekai, Wang Junjie, Wang Song, Wei Moshi, Shi Lin, Liu Zhe, and Wang Qing.
ACM Transactions on Software Engineering and Methodology (TOSEM 2024)
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Assessing Evaluation Metrics for Neural Test Oracle Generation
Jiho Shin, Hadi Hemmati, Moshi Wei, and Song Wang
IEEE Transaction on Software Engineering (TSE 2024)
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History-Driven Fuzzing For Deep Learning Libraries
Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Moshi Wei, Hung Viet Pham, and Song Wang
ACM Transactions on Software Engineering and Methodology (TOSEM 2024)
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Domain Adaptation for Code Model-based Unit Test Case Generation
Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati, and Song Wang
The 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2024)
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Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation
Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang and Zhen Ming Jack Jiang
5th International Workshop on Algorithmic Bias in Search and Recommendation (Bias@SIGIR2024)
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ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification
Fangwen Mu, Lin Shi, Song Wang, Zhuohao Yu, Binquan Zhang, Chenxue Wang, Shichao Liu, and Qing Wang
32nd ACM International Conference on the Foundations of Software Engineering (FSE 2024)
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Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions
Yuekai Huang, Junjie Wang, Song Wang, Rupeng Zhang and Qing Wang
24th IEEE International Conference on Software Quality, Reliability and Security (QRS 2024)
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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, and Song Wang
1st ACM International Conference on AI-powered Software (AIware 2024)
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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 and Song Wang
Eleventh International Workshop on Artificial Intelligence and Requirements Engineering (AIRE'24)
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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, and Timothy C. Lethbridge
AI Foundation Models and Software Engineering (Forge 2024)
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Software Testing with Large Language Model: Survey, Landscape, and Vision
Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang
IEEE Transaction on Software Engineering (TSE 2024)
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Demystifying and Detecting Misuses of Deep Learning APIs
Moshi Wei, Nima Shiri Harzevili, Yuekai Huang, Jinqiu Yang, Junjie Wang, and Song Wang
46th International Conference on Software Engineering (ICSE 2024)
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CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace
Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, and Qing Wang
46th International Conference on Software Engineering (ICSE 2024)
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The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks
Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, and Song Wang
ACM Transactions on Software Engineering and Methodology (TOSEM 2023)
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An Empirical Study on the Stability of Explainable Software Defect Prediction
Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili and Song Wang
The 30th Asia-Pacific Software Engineering Conference (APSEC 2023)
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Distinguished Paper Award
Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?
Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, and Nachiappan Nagappan
34th IEEE International Symposium on Software Reliability (ISSRE 2023)
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Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries
Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, and Nachiappan Nagappan
20th International Conference on Mining Software Repositories (MSR 2023)
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Developer-Intent Driven Code Comment Generation
Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, and Qing Wang
45th International Conference on Software Engineering (ICSE 2023)
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Context-aware Bug Reproduction for Mobile Apps
Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, and Qing Wang
45th International Conference on Software Engineering (ICSE 2023)
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CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing
Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, and Song Wang
IEEE Transactions on Reliability (TR'22)
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Automatic Comment Generation via Multi-Pass Deliberation
Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, and Qing Wang
The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022)
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Yet Another Combination of IR-and Neural-based Comment Generation
Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang
Information and Software Technology 2022
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API Recommendation for Machine Learning Libraries: How Far Are We?
Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Shiri harzevili Nima, and Song Wang
30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022)
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Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization
Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, and Qing Wang
30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022)
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A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning
Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, and Qing Wang
16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2022)
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SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multi-modal Ensemble Learning
Wen Zhang, Jiangpeng Zhao, Rui Peng, Song Wang and Ye Yang
IEEE Transactions on Reliability (TR'22)
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CLEAR: Contrastive Learning for API Recommendation
Moshi Wei, Shiri harzevili Nima, Yuchao Huang, Junjie Wang, and Song Wang
44th International Conference on Software Engineering (ICSE 2022)
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Find Bugs in Static Bug Finders
Junjie Wang, Yuchao Huang, Song Wang, and Qing Wang
30th ACM/IEEE International Conference on Program Comprehension (ICPC 2022)
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ACM SIGSOFT Distinguished Paper Award
Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We?
Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, and Nachiappan Nagappan
43rd International Conference on Software Engineering (ICSE 2021)
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Context- and Fairness-aware In-process Crowdworker Recommendation
Junjie Wang, Ye, Yang, Song Wang, Jun Hu, and Qing Wang
ACM Transactions on Software Engineering and Methodology (TOSEM'21)
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Context-aware Personalized Crowdtesting Task Recommendation
Junjie Wang, Ye Yang, Song Wang, Chunyang Chen, Dandan Wang, and Qing Wang
IEEE Transaction on Software Engineering 2021
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Characterizing and Understanding Software Developer Networks in Security Development
Song Wang and Nachiappan Nagappan
The 32nd International Symposium on Software Reliability Engineering (ISSRE 2021)
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Continuous Software Bug Prediction
Song Wang, Junjie Wang, Jaechang Nam, and Nachiappan Nagappan
15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2021)
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Characterizing and Predicting Good First Issues
Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Dandan Wang, and Qing Wang
15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2021)
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A Predictive Model of Chlorophyll a in Western Lake Erie Based on Artificial Neural Network
Qi Wang and Song Wang
Applied Sciences 2021
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Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes
Song Wang, Chetan Bansal, and Nachiappan Nagappan
Information and Software Technology 2020
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Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection
Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, and Qing Wang
14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2020)
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Context-aware In-process Crowdworker Recommendation
Junjie Wang, Ye Yang, Song Wang, Dandan Wang, and Qing Wang.
42nd International Conference on Software Engineering (ICSE 2020)
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ACM SIGSOFT Distinguished Paper Award
Machine Learning-Based Water Level Prediction in Lake Erie
Qi Wang and Song Wang
Water 2020
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Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachiappan Nagappan, and Adithya Abraham Philip
15th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2019)
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Best Paper Award
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing
Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, and Qing Wang
IEEE Transaction on Software Engineering 2019
FSE 2019 Journal First
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A Bug Finder Refined by a Large Set of Open-Source Projects
Jaechang Nam, Song Wang, Xi Yuan, and Lin Tan
Information and Software Technology 2019
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Images Don't Lie: Duplicate Crowdtesting Reports Detection With Screenshot Information
Juejie Wang, Mingyang Li, Song Wang, Tim Menzies, and Qing Wang
Information and Software Technology 2019
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Deep Semantic Feature Learning for Software Defect Prediction
Song Wang, Taiyue Liu, Jaechang Nam, and Lin Tan
IEEE Transaction on Software Engineering 2018
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Designing Bug Detection Rules for Fewer False Alarms
Jaechang Nam, Song Wang, Xi Yuan, and Lin Tan
40th International Conference on Software Engineering Poster Track(ICSE-Poster 2018)
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Is There A "Golden" Feature Set for Static Warning Identification? - An Experimental Evaluation
Juejie Wang, Song Wang, and Qing Wang
12nd ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2018)
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QTEP: Quality-aware Test Case Prioritization
Song Wang, Jaechang Nam, and Lin Tan
11st Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2017)
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Domain Adaptation for Test Report Classification in Crowdsourced Testing
Junjie Wang, Qiang Cui, Song Wang, and Qing Wang
39th International Conference on Software Engineering (ICSE 2017)
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Multi-Objective Crowd Worker Selection in Crowdsourced Testing
Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, and Mingshu Li
29th International Conference on Software Engineering and Knowledge Engineering (SEKE 2017)
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Automatically Learning Semantic Features for Defect Prediction
Song Wang, Taiyue Liu, and Lin Tan
38th International Conference on Software Engineering (ICSE 2016)
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Bugram: Bug Detection with N-gram Language Models
Song Wang, Devin Chollak, Dana Movshovitz-Attias, and Lin Tan
31st IEEE/ACM International Conference on Automated Software Engineering (ASE 2016)
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Local-based Active Classification of Test Report to Assist Crowdsourced Testing
Junjie Wang, Song Wang, Qiang Cui, and Qing Wang
31st IEEE/ACM International Conference on Automated Software Engineering (ASE 2016)
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Towards Effectively Test Report Classification to Assist Crowdsourced Testing
Junjie Wang, Qiang Cui, Qing Wang, and Song Wang
10th International Symposium on Empirical Software Engineering and Measurement (ESEM 2016)
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BAHA: A Novel Approach to Automatic Bug Report Assignment with Topic Modeling and Heterogeneous Network Analysis
Wen Zhang, Song Wang, and Qing Wang
Chinese Journal of Electronics 2016
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KSAP: An Approach to Bug Report Assignment Using KNN Search and Heterogeneous Proximity
Wen Zhang, Song Wang, and Qing Wang
Information and Software Technology 2016
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DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing
Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, and Lin Tan
37th IEEE/ACM International Conference on Software Engineering (ICSE 2015)
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Will This Bug-fixing Change Break Regression Testing?
Xinye Tang, Song Wang, and Ke Mao
9th International Symposium on Empirical Software Engineering and Measurement (ESEM 2015)
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HIPRank: Ranking Nodes by Influence Propagation based on authority and hub
Wen Zhang, Song Wang, GuangLe Han, Ye Yang, and Qing Wang
Studies in Computational Intelligence 2015
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FixerCache: Unsupervised Caching Active Developers for Diverse Bug Triage
Song Wang, Wen Zhang, and Qing Wang
8th International Symposium on Empirical Software Engineering and Measurement (ESEM 2014)
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Heterogeneous Network Analysis of Developer Contribution in Bug Repositories
Wen Zhang, Song Wang, Ye Yang, and Qing Wang
2013 International Conference on Cloud and Service Computing (CSC 2013)
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DevNet: Exploring Developer Collaboration in Heterogeneous Network of Bug Repositories
Song Wang, Wen Zhang, Ye Yang, and Qing Wang
7th International Symposium on Empirical Software Engineering and Measurement (ESEM 2013)
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HIPRank: Ranking Nodes by Influence Propagation based on authority and hub
Wen Zhang, Song Wang, GuangLe Han, Ye Yang, and Qing Wang
IJCAI-SSMCS 2013
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Noise suppression based algorithm for gene recognition
Gu Yiwei, Wang Song, Zhang Xu, Zhang Ru, Liu Jianyi, and Tong Hui
Journal of Mathematics in Practice and Theory (In Chinese)
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Implementation Technology Study of Distributed Automated Software Testing
Yang Qiuhui, Zhou Hongyu, Hong Mei, Wang Song and Zang Kang
Journal of Sichuan University 2011 (In Chinese)
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Application of SQL RAT Translation: a Statement of RQP/RMP with an Object-oriented Solution
Xu Silao, Wang Song, and Hong Mei
International Journal of Intelligent Systems and Applications 2011
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