Song Wang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 59

Top Venues

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Mithila Sivakumar, Alvine Boaye Belle, Kimya Khakzad Shahandashti, Oluwafemi Odu, Hadi Hemmati, Segla Kpodjedo, Song Wang, Opeyemi O. Adesina
I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems. CoRR (2024)
Kimya Khakzad Shahandashti, Mithila Sivakumar, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Timothy C. Lethbridge
Evaluating the Effectiveness of GPT-4 Turbo in Creating Defeaters for Assurance Cases. CoRR (2024)
Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. ACM Trans. Softw. Eng. Methodol. 33 (2) (2024)
Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. ICSE (2024)
Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. CoRR (2023)
Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. MSR (2023)
Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan
A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. CoRR (2023)
Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang
SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models. CoRR (2023)
Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang
Developer-Intent Driven Code Comment Generation. ICSE (2023)
Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? CoRR (2023)
Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang
CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. IEEE Trans. Reliab. 72 (3) (2023)
Nima Shiri Harzevili, Hung Viet Pham, Song Wang
Security Knowledge-Guided Fuzzing of Deep Learning Libraries. CoRR (2023)
Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang
Context-aware Bug Reproduction for Mobile Apps. ICSE (2023)
Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang
A Survey on Query-based API Recommendation. CoRR (2023)
Sepehr Hashtroudi, Jiho Shin, Hadi Hemmati, Song Wang
Automated Test Case Generation Using Code Models and Domain Adaptation. CoRR (2023)
Wen Zhang, Jiangpeng Zhao, Rui Peng, Song Wang, Ye Yang
SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning. IEEE Trans. Reliab. 72 (1) (2023)
Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati
Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks. CoRR (2023)
Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang
Assessing Evaluation Metrics for Neural Test Oracle Generation. CoRR (2023)
Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang
A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. CoRR (2023)
Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. CoRR (2023)
Nima Shiri Harzevili, Hung Viet Pham, Song Wang
Benchmarking Deep Learning Fuzzers. CoRR (2023)
Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan
Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? ISSRE (2023)
Mithila Sivakumar, Alvine Boaye Belle, Jinjun Shan, Opeyemi Adesina, Song Wang, Marsha Chechik, Marios Fokaefs, Kimya Khakzad Shahandashti, Oluwafemi Odu
The Last Decade in Review: Tracing the Evolution of Safety Assurance Cases through a Comprehensive Bibliometric Analysis. CoRR (2023)
Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang
API recommendation for machine learning libraries: how far are we? ESEC/SIGSOFT FSE (2022)
Junjie Wang, Ye Yang, Song Wang, Chunyang Chen, Dandan Wang, Qing Wang
Context-Aware Personalized Crowdtesting Task Recommendation. IEEE Trans. Software Eng. 48 (8) (2022)
Junjie Wang, Yuchao Huang, Song Wang, Qing Wang
Find bugs in static bug finders. ICPC (2022)
Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang
CLEAR: Contrastive Learning for API Recommendation. ICSE (2022)
Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR (2022)
Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. CoRR (2022)
Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang
Yet another combination of IR- and neural-based comment generation. Inf. Softw. Technol. 152 (2022)
Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang
A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. ESEM (2022)
Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. IEEE Trans. Software Eng. 47 (6) (2021)
Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang
Yet Another Combination of IR- and Neural-based Comment Generation. CoRR (2021)
Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan
Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? ICSE (2021)
Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan
Continuous Software Bug Prediction. ESEM (2021)
Song Wang, Nachiappan Nagappan
Characterizing and Understanding Software Developer Networks in Security Development. ISSRE (2021)
Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang
CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing. CoRR (2021)
Junjie Wang, Yuchao Huang, Song Wang, Qing Wang
Find Bugs in Static Bug Finders. CoRR (2021)
Song Wang, Chetan Bansal, Nachiappan Nagappan
Large-scale intent analysis for identifying large-review-effort code changes. Inf. Softw. Technol. 130 (2021)
Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang
Context-aware in-process crowdworker recommendation. ICSE (2020)
Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, Qing Wang
Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection. ESEM (2020)
Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan
Deep Semantic Feature Learning for Software Defect Prediction. IEEE Trans. Software Eng. 46 (12) (2020)
Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang
Images don't lie: Duplicate crowdtesting reports detection with screenshot information. Inf. Softw. Technol. 110 (2019)
Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes. PROMISE (2019)
Song Wang, Nachi Nagappan
Characterizing and Understanding Software Developer Networks in Security Development. CoRR (2019)
Jaechang Nam, Song Wang, Yuan Xi, Lin Tan
A bug finder refined by a large set of open-source projects. Inf. Softw. Technol. 112 (2019)
Junjie Wang, Song Wang, Qing Wang
Is there a "golden" feature set for static warning identification?: an experimental evaluation. ESEM (2018)
Jaechang Nam, Song Wang, Yuan Xi, Lin Tan
Designing bug detection rules for fewer false alarms. ICSE (Companion Volume) (2018)
Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang
Cutting Away the Confusion From Crowdtesting. CoRR (2018)
Junjie Wang, Qiang Cui, Song Wang, Qing Wang
Domain Adaptation for Test Report Classification in Crowdsourced Testing. ICSE-SEIP (2017)
Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li
Multi-Objective Crowd Worker Selection in Crowdsourced Testing. SEKE (2017)
Song Wang, Jaechang Nam, Lin Tan
QTEP: quality-aware test case prioritization. ESEC/SIGSOFT FSE (2017)
Wen Zhang, Song Wang, Qing Wang
KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity. Inf. Softw. Technol. 70 (2016)
Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan
Bugram: bug detection with n-gram language models. ASE (2016)
Song Wang, Taiyue Liu, Lin Tan
Automatically learning semantic features for defect prediction. ICSE (2016)
Junjie Wang, Qiang Cui, Qing Wang, Song Wang
Towards Effectively Test Report Classification to Assist Crowdsourced Testing. ESEM (2016)
Junjie Wang, Song Wang, Qiang Cui, Qing Wang
Local-based active classification of test report to assist crowdsourced testing. ASE (2016)
Xinye Tang, Song Wang, Ke Mao
Will This Bug-Fixing Change Break Regression Testing? ESEM (2015)
Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan
DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. ICSE (1) (2015)
Song Wang, Wen Zhang, Qing Wang
FixerCache: unsupervised caching active developers for diverse bug triage. ESEM (2014)
Wen Zhang, Song Wang, Ye Yang, Qing Wang
Heterogeneous Network Analysis of Developer Contribution in Bug Repositories. CSC (2013)
Song Wang, Wen Zhang, Ye Yang, Qing Wang
DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories. ESEM (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Song Wang