General

Junjie Wang

Associate Researcher at Institute of Software, Chinese Academy of Sciences (ISCAS), Beijing, China

Email: junjie@iscas.ac.cn

Address: Room 1101, Building 5, 4# South Fourth Street, Zhong Guan Cun, Beijing 100190, P.R. China

Research Areas

Software repositories mining, Machine learning and deep learning in SE, Empirical studies, Crowdsourced testing

Education

(1) Ph.D in software engineering             09/2009 – 06/2015

Institute of Software, Chinese Academy of Sciences (ISCAS), Beijing, China

Advisor: Prof. Qing Wang

(2) Bachelor in Computer Science            09/2005 – 06/2009

Central China Normal University (CCNU), Wuhan, China

Experience

Associate Researcher at ISCAS, Beijing, China                      10/1017 – Present

Visiting Scholar at North Carolina State University            2017/09 – 2018/09

Assistant Researcher at ISCAS, Beijing, China                      06/2015 – 10/2017

Publications


Papers

  1. J. WangY. Yang, S.Wang, Y. Hu, D. Wang, Q. Wang. Context-aware In-process Crowdworker Recommendation, International Conference on Software Engineering (ICSE) 2020. ACM SIGSOFT Distinguished Paper AwardCore A*/CCF A, SCI

  2. J. Wang, Y. Yang, R. Krishna, T. Menzies, Q. Wang. iSENSE : Completion-Aware Crowdtesting Management, 41st ACM/IEEE International Conference on Software Engineering(ICSE), 2019. ACM SIGSOFT Distinguished Paper Award. Core A*/CCF A, SCI

  3. J. Wang, Y. Yang, T. Menzies, Q. Wang. iSENSE2.0 : Improving Completion-Aware Crowdtesting Management with Duplicate Tagger and Sanity Checker. ACM Transactions on Software Engineering and Methodology (TOSEM), 2020. Core A*/CCF A, SCI

  4. J. Wang, S. Wang, J. Chen, T. Menzies, Q. Wang, Q. Cui, M. Xie. Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing, IEEE Transactions on Software Engineering (TSE), 2019. Core A*/CCF A, SCI

  5. J. Wang, M. Li,S. Wang, T. Menzies, Q. Wang. Images Don't Lie: Duplicate Crowdtesting Reports Detection With Screenshot Information, Information and Software Technology, 2019. Core A/CCF B, SCI

  6. Y. Li, J. Wang, Q. Wang, Y. Yang. Method-level Test Selection for Continuous Integration with Static Dependencies and Dynamic Execution Rules, 19th IEEE International Conference on Software Quality, Reliability, and Security (QRS 2019). IEEE Best Paper Award. Core B/ CCF C, EI

  7. Y. Li,J. Wang, Q. Wang, J. Hu. A Class-level Test Selection Approach Toward Full Coverage For Continuous Integration. 31th International Conference on Software Engineering and Knowledge Engineering (SEKE 2019). Core B/CCF C, EI

  8. L. Chen, D. Wang, J. Wang, Q. Wang. Enhancing Unsupervised Requirements Traceability with Sequential Semantics, 26th Asia-Pacific Software Engineering Conference (APSEC 2019). Core B/CCF C, EI

  9. J. Wang, S. Wang, Q. Wang. Is there a "golden" feature set for static warning identification?: an experimental evaluation, 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2018.10.11-2018.10.12. Core A/CCF B, EI

  10. J. Wang, Q. Cui, S. Wang, and Q. Wang. Domain Adaptation for Test Report Classification in Crowdsourced Testing. In Proc. 39th International Conference on Software Engineering : Software Engineering in Practice Track (ICSE-SEIP 2017), pp.83-92. Core A*/CCF A, SCI

  11. J. Wang, S. Wang, Q. Cui, and Q. Wang. Local-based Active Classification of Test Report to Assist Crowdsourced Testing. In Proc. 31st International Conference on Automated Software Engineering (ASE 2016), pp. 190-201. Core A/CCF A, SCI

  12. J. Wang, Q. Cui, Q. Wang, and S. Wang. Towards Effectively Test Report Classification to Assist Crowdsourced Testing. In Proc. of the 10th International Symposium on Empirical Software Engineering and Measurement (ESEM 2016), pp. 6:1-6:10, Core A/CCF B, EI

  13. Q. Cui, J. Wang, G. Yang, M. Xie, Q. Wang and M. Li. Who Should Be Selected to Perform a Task in Crowdsourced Testing? In Proc. 41th Annual Computer Software and Applications Conference (COMPSAC 2017), Core B/CCF C, EI

  14. Q. Cui, S. Wang, J. Wang, Y. Hu, Q. Wang and M. Li.  Multi-Objective Crowd Worker Selection in Crowdsourced Testing. In Proc. 29th International Conference on Software Engineering and Knowledge Engineering (SEKE 2017), Core B/CCF C, EI

  15. J. Wang and Q. Wang. Analyzing and Predicting Software Integration Bugs Using Network Analysis on Requirements Dependency Network. Requirements Engineering, 2014:19(4), pp.1-24. Core A/CCF B, SCI

  16. J. Wang, J. Li, Q. Wang, D. Yang, H. Zhang, and M. Li. Can Requirements Dependency Network be used as Early Indicator of Software Integration Bugs? In Proc. 21th International Requirements Engineering Conference (RE 2013), pp.185-194, Core A/CCF B, EI

  17. J. Wang, J. Li, Q. Wang, H. Zhang, and H. Wang. A Simulation Approach for Impact Analysis of Requirement Volatility Considering Dependency Change. In Proc. 18th International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2012), pp. 59–76, Core B/CCF C, EI

  18. H. Wu, J. Wang, Q. Wang, L. Shi, F. Yuan. Stage-oriented Analysis on Factors Impacting Bug Fixing Time. In Proc. of the 28th International Conference on Software Engineering and Knowledge Engineering (SEKE 2016), Core B/CCF C, EI

Patents

1. J. Wang, W. Wang. Method for Recommending a Set of Crowdworkers. 201910280296.X. In Chinese

2. J. Wang, W. Wang, J. Hu. Method for Predicting Close Time of Crowdtesting Task Based on Crowdtesting Process. 201911247610.0. In Chinese

3. Y. Wang, J. Wang, etc. Method for One-to-Many Requirement Entity Identification. 201911350243.7. In Chinese

Funding

  1. Intelligent Screening of Test Report to Assist Crowdsourced Testing200,000¥, Project leader, Supported by National Natural Science Foundation of China, 01/2017-12/2019

  2. Information products and technology services integrated crowdsourced testing platform research, development, and application, 13,000,000¥, Sub-project leader, Supported by Ministry of Science and Technology of China, 01/2019-2021/12