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Song Wang
Song Wang
Assistant Professor at York University, Canada
Verified email at eecs.yorku.ca - Homepage
Title
Cited by
Cited by
Year
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
7582016
Deep Semantic Feature Learning for Software Defect Prediction
S Wang, T Liu, J Nam, L Tan
IEEE Transactions on Software Engineering, 2020
2402020
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
1532016
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
882017
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
722016
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
662019
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
652016
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
632015
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
602014
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
562016
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
512018
Software Testing with Large Language Model: Survey, Landscape, and Vision
J Wang, Y Huang, C Chen, Z Liu, S Wang, Q Wang
arXiv preprint arXiv:2307.07221, 2023
432023
Machine Learning-based Water Level Prediction in Lake Erie
Q Wang, S Wang
Water 12 (10), 2654, 2020
372020
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
362017
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
332022
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
322021
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
302017
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
302013
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
302013
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
252019
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