Automatically learning semantic features for defect prediction S Wang, T Liu, L Tan The 38th International Conference on Software Engineering( (ICSE'16), 297-308, 2016 | 794 | 2016 |
Deep Semantic Feature Learning for Software Defect Prediction S Wang, T Liu, J Nam, L Tan IEEE Transactions on Software Engineering, 2020 | 265 | 2020 |
Bugram: bug detection with n-gram language models S Wang, D Chollak, D Movshovitz-Attias, L Tan The 31st IEEE/ACM International Conference on Automated Software Engineering …, 2016 | 158 | 2016 |
QTEP: quality-aware test case prioritization S Wang, J Nam, L Tan The 2017 11th Joint Meeting on Foundations of Software Engineering (FSE'17 …, 2017 | 92 | 2017 |
Software Testing with Large Language Model: Survey, Landscape, and Vision J Wang, Y Huang, C Chen, Z Liu, S Wang, Q Wang TSE 2024, 2024 | 90 | 2024 |
Local-based active classification of test report to assist crowdsourced testing J Wang, S Wang, Q Cui, Q Wang The 31st IEEE/ACM International Conference on Automated Software Engineering …, 2016 | 72 | 2016 |
Images Don't Lie: Duplicate Crowdtesting Reports Detection With Screenshot Information J Wang, M Li, S Wang, T Menzies, Q Wang Information and Software Technology (IST), 2019 | 67 | 2019 |
Dase: Document-assisted symbolic execution for improving automated software testing E Wong, L Zhang, S Wang, T Liu, L Tan 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 67 | 2015 |
Towards Effectively Test Report Classification to Assist Crowdsourced Testing J Wang, Q Cui, Q Wang, S Wang The 10th ACM/IEEE International Symposium on Empirical Software Engineering …, 2016 | 65 | 2016 |
FixerCache: Unsupervised caching active developers for diverse bug triage S Wang, W Zhang, Q Wang The 8th ACM/IEEE International Symposium on Empirical Software Engineering …, 2014 | 61 | 2014 |
KSAP: An approach to bug report assignment using KNN search and heterogeneous proximity W Zhang, S Wang, Q Wang Information and Software Technology (IST) 70, 68-84, 2016 | 57 | 2016 |
Is there a "golden" feature set for static warning identification? an experimental evaluation J Wang, S Wang, Q Wang Proceedings of the 12th ACM/IEEE international symposium on empirical …, 2018 | 55 | 2018 |
Machine Learning-based Water Level Prediction in Lake Erie Q Wang, S Wang Water 12 (10), 2654, 2020 | 41 | 2020 |
CLEAR: Contrastive Learning for API Recommendation M Wei, S Nima, Y Huang, J Wang, S Wang The 44th International Conference on Software Engineering (ICSE'22), 2022 | 39 | 2022 |
Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? S Wang, N Shrestha, A Kucheri Subburaman, J Wang, M Wei, ... The 43th International Conference on Software Engineering (ICSE'21), 2021 | 38 | 2021 |
Domain adaptation for test report classification in crowdsourced testing J Wang, Q Cui, S Wang, Q Wang The 39th International Conference on Software Engineering (ICSE-SEIP …, 2017 | 36 | 2017 |
Heterogeneous network analysis of developer contribution in bug repositories W Zhang, S Wang, Y Yang, Q Wang 2013 International Conference on Cloud and Service Computing, 98-105, 2013 | 32 | 2013 |
DevNet: exploring developer collaboration in heterogeneous networks of bug repositories S Wang, W Zhang, Y Yang, Q Wang The 7th ACM/IEEE International Symposium on Empirical Software Engineering …, 2013 | 31 | 2013 |
Multi-Objective Crowd Worker Selection in Crowdsourced Testing Q Cui, S Wang, J Wang, Y Hu, Q Wang, M Li The 29th International Conference on Software Engineering & Knowledge …, 2017 | 30 | 2017 |
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing J Wang, S Wang, J Chen, T Menzies, Q Cui, M Xie, Q Wang IEEE Transaction on Software Engineering (TSE), 2019 | 25 | 2019 |