C Conference Proceeding | J Journal Article | W Workshop Proceeding | T Technical Report

2024

• 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)
  C PDF

• 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)
  C PDF

2023

• 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)
  C PDF 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)
  C PDF

2022

• 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)
  C PDF

• 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)
  C PDF ACM SIGSOFT Distinguished Paper Award
  

2021

• 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)
  C PDF

• 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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2020

• 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)
  C PDF

• 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)
  C PDF ACM SIGSOFT Distinguished Paper Award
  

• Machine Learning-Based Water Level Prediction in Lake Erie
  Qi Wang and Song Wang
  Water 2020
  J PDF

2019

• 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)
  C PDF 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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2018

• 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)
  C PDF

2017

• 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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2016

• 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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2015

• 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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2014

• 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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2013

• 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)
  C PDF

• 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
  W PDF

• 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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2011

• 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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