Song Wang

According to our database, Song Wang authored at least 67 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks.

Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang

ACM Trans. Softw. Eng. Methodol., February, 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, Timothy C. Lethbridge

CoRR, 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, Opeyemi O. Adesina

CoRR, 2024

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace.

Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing.

Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang

IEEE Trans. Reliab., September, 2023

SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning.

Wen Zhang, Jiangpeng Zhao, Rui Peng, Song Wang, Ye Yang

IEEE Trans. Reliab., March, 2023

A Survey on Query-based API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang

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, Marsha Chechik, Marios Fokaefs, Kimya Khakzad Shahandashti, Oluwafemi Odu

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

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, Hadi Hemmati

CoRR, 2023

Assessing Evaluation Metrics for Neural Test Oracle Generation.

Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang

CoRR, 2023

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace.

Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang

CoRR, 2023

Benchmarking Deep Learning Fuzzers.

Nima Shiri Harzevili, Hung Viet Pham, Song Wang

CoRR, 2023

Automated Test Case Generation Using Code Models and Domain Adaptation.

Sepehr Hashtroudi, Jiho Shin, Hadi Hemmati, Song Wang

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, Hadi Hemmati, Song Wang, Zhen Ming Jiang

CoRR, 2023

Software Testing with Large Language Model: Survey, Landscape, and Vision.

Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang

CoRR, 2023

Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet?

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

CoRR, 2023

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge.

Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang

CoRR, 2023

A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning.

Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan

CoRR, 2023

Security Knowledge-Guided Fuzzing of Deep Learning Libraries.

Nima Shiri Harzevili, Hung Viet Pham, Song Wang

CoRR, 2023

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Developer-Intent Driven Code Comment Generation.

Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Context-aware Bug Reproduction for Mobile Apps.

Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

An Empirical Study on the Stability of Explainable Software Defect Prediction.

Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

Context-Aware Personalized Crowdtesting Task Recommendation.

Junjie Wang, Ye Yang, Song Wang, Chunyang Chen, Dandan Wang, Qing Wang

IEEE Trans. Software Eng., 2022

Context- and Fairness-Aware In-Process Crowdworker Recommendation.

Junjie Wang, Ye Yang, Song Wang, Jun Hu, Qing Wang

ACM Trans. Softw. Eng. Methodol., 2022

Yet another combination of IR- and neural-based comment generation.

Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang

Inf. Softw. Technol., 2022

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang

CoRR, 2022

API recommendation for machine learning libraries: how far are we?

Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

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, Qing Wang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Automatic Comment Generation via Multi-Pass Deliberation.

Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Find bugs in static bug finders.

Junjie Wang, Yuchao Huang, Song Wang, Qing Wang

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

CLEAR: Contrastive Learning for API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

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, Qing Wang

Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

2021

Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing.

Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang

IEEE Trans. Software Eng., 2021

Large-scale intent analysis for identifying large-review-effort code changes.

Song Wang, Chetan Bansal, Nachiappan Nagappan

Inf. Softw. Technol., 2021

Explainable Software Defect Prediction: Are We There Yet?

Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Song Wang

CoRR, 2021

SusTriage: Sustainable Bug Triage with Multi-modal Ensemble Learning.

Wen Zhang, Jiangpeng Zhao, Song Wang

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Characterizing and Understanding Software Developer Networks in Security Development.

Song Wang, Nachiappan Nagappan

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We?

Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Continuous Software Bug Prediction.

Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan

Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

Characterizing and Predicting Good First Issues.

Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Dandan Wang, Qing Wang

Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

2020

Deep Semantic Feature Learning for Software Defect Prediction.

Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan

IEEE Trans. Software Eng., 2020

Context-aware in-process crowdworker recommendation.

Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection.

Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu, Yuanzhe Hu, Qing Wang

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019

Images don't lie: Duplicate crowdtesting reports detection with screenshot information.

Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang

Inf. Softw. Technol., 2019

A bug finder refined by a large set of open-source projects.

Jaechang Nam, Song Wang, Yuan Xi, Lin Tan

Inf. Softw. Technol., 2019

Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes.

Song Wang, Chetan Bansal, Nachiappan Nagappan, Adithya Abraham Philip

Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, 2019

2018

Leveraging Machine Learning to Improve Software Reliability.

Song Wang

PhD thesis, 2018

Cutting Away the Confusion From Crowdtesting.

Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang

CoRR, 2018

Designing bug detection rules for fewer false alarms.

Jaechang Nam, Song Wang, Yuan Xi, Lin Tan

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Is there a "golden" feature set for static warning identification?: an experimental evaluation.

Junjie Wang, Song Wang, Qing Wang

Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

2017

QTEP: quality-aware test case prioritization.

Song Wang, Jaechang Nam, Lin Tan

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Multi-Objective Crowd Worker Selection in Crowdsourced Testing.

Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Domain Adaptation for Test Report Classification in Crowdsourced Testing.

Junjie Wang, Qiang Cui, Song Wang, Qing Wang

Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track, 2017

2016

KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity.

Wen Zhang, Song Wang, Qing Wang

Inf. Softw. Technol., 2016

Local-based active classification of test report to assist crowdsourced testing.

Junjie Wang, Song Wang, Qiang Cui, Qing Wang

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Bugram: bug detection with n-gram language models.

Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Automatically learning semantic features for defect prediction.

Song Wang, Taiyue Liu, Lin Tan

Proceedings of the 38th International Conference on Software Engineering, 2016

Towards Effectively Test Report Classification to Assist Crowdsourced Testing.

Junjie Wang, Qiang Cui, Qing Wang, Song Wang

Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2016

2015

HIPRank: Ranking Nodes by Influence Propagation Based on Authority and Hub.

Wen Zhang, Song Wang, Guangle Han, Ye Yang, Qing Wang

Proceedings of the Smart Modeling and Simulation for Complex Systems - Practice and Theory, 2015

DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing.

Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Will This Bug-Fixing Change Break Regression Testing?

Xinye Tang, Song Wang, Ke Mao

Proceedings of the 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2015

2014

FixerCache: unsupervised caching active developers for diverse bug triage.

Song Wang, Wen Zhang, Qing Wang

Proceedings of the 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2014

2013

DevNet: Exploring Developer Collaboration in Heterogeneous Networks of Bug Repositories.

Song Wang, Wen Zhang, Ye Yang, Qing Wang

Proceedings of the 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013

Heterogeneous Network Analysis of Developer Contribution in Bug Repositories.

Wen Zhang, Song Wang, Ye Yang, Qing Wang

Proceedings of the 2013 International Conference on Cloud and Service Computing, 2013