Sledovat
Song Wang
Song Wang
Associate Professor at York University, Canada
E-mailová adresa ověřena na: eecs.yorku.ca - Domovská stránka
Název
Citace
Citace
Rok
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
8782016
Deep Semantic Feature Learning for Software Defect Prediction
S Wang, T Liu, J Nam, L Tan
IEEE Transactions on Software Engineering, 2020
3102020
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
2902024
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
1722016
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
1012017
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
802016
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
752019
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
732015
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
702016
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
652014
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
622018
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
602016
Machine Learning-based Water Level Prediction in Lake Erie
Q Wang, S Wang
Water 12 (10), 2654, 2020
562020
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
522022
Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks
J Shin, C Tang, T Mohati, M Nayebi, S Wang, H Hemmati
MSR 2025, 2025
462025
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
442021
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization
L Shi, F Mu, X Chen, S Wang, J Wang, Y Yang, G Li, X Xia, Q Wang
30th ACM Joint European Software Engineering Conference and Symposium on the …, 2022
422022
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
402017
ClarifyGPT: A framework for enhancing llm-based code generation via requirements clarification
F Mu, L Shi, S Wang, Z Yu, B Zhang, CX Wang, S Liu, Q Wang
Proceedings of the ACM on Software Engineering 1 (FSE), 2332-2354, 2024
39*2024
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
362019
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Články 1–20