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Junjie Wang
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Local-based active classification of test report to assist crowdsourced testing
J Wang, S Wang, Q Cui, Q Wang
Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016
702016
Towards effectively test report classification to assist crowdsourced testing
J Wang, Q Cui, Q Wang, S Wang
Proceedings of the 10th ACM/IEEE International Symposium on Empirical …, 2016
642016
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 110, 139-155, 2019
482019
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
362018
Owl eyes: Spotting ui display issues via visual understanding
Z Liu, C Chen, J Wang, Y Huang, J Hu, Q Wang
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
352020
Domain adaptation for test report classification in crowdsourced testing
J Wang, Q Cui, S Wang, Q Wang
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
332017
A simulation approach for impact analysis of requirement volatility considering dependency change
J Wang, J Li, Q Wang, H Zhang, H Wang
Requirements Engineering: Foundation for Software Quality: 18th …, 2012
302012
Multi-Objective Crowd Worker Selection in Crowdsourced Testing.
Q Cui, S Wang, J Wang, Y Hu, Q Wang, M Li
SEKE 17, 218-223, 2017
272017
Who should be selected to perform a task in crowdsourced testing?
Q Cui, J Wang, G Yang, M Xie, Q Wang, M Li
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC …, 2017
232017
Analyzing and predicting software integration bugs using network analysis on requirements dependency network
J Wang, Q Wang
Requirements Engineering 21, 161-184, 2016
232016
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 Transactions on Software Engineering 47 (6), 1259-1276, 2019
212019
Can requirements dependency network be used as early indicator of software integration bugs?
J Wang, J Li, Q Wang, D Yang, H Zhang, M Li
2013 21st IEEE International Requirements Engineering Conference (RE), 185-194, 2013
172013
iSENSE: Completion-aware crowdtesting management
J Wang, Y Yang, R Krishna, T Menzies, Q Wang
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
162019
Characterizing and Predicting Good First Issues
Y Huang, J Wang, S Wang, Z Liu, D Wang, Q Wang
Proceedings of the 15th ACM/IEEE International Symposium on Empirical …, 2021
152021
Automatic unit test generation for machine learning libraries: How far are we?
S Wang, N Shrestha, AK Subburaman, J Wang, M Wei, N Nagappan
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
152021
Context-aware in-process crowdworker recommendation
J Wang, Y Yang, S Wang, Y Hu, D Wang, Q Wang
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
152020
Understanding static code warnings: An incremental AI approach
X Yang, Z Yu, J Wang, T Menzies
Expert Systems with Applications 167, 114134, 2021
132021
Enhancing unsupervised requirements traceability with sequential semantics
L Chen, D Wang, J Wang, Q Wang
2019 26th Asia-Pacific Software Engineering Conference (APSEC), 23-30, 2019
122019
Context-aware personalized crowdtesting task recommendation
J Wang, Y Yang, S Wang, C Chen, D Wang, Q Wang
IEEE Transactions on Software Engineering 48 (8), 3131-3144, 2021
102021
CLEAR: contrastive learning for API recommendation
M Wei, NS Harzevili, Y Huang, J Wang, S Wang
Proceedings of the 44th International Conference on Software Engineering …, 2022
92022
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