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Junjie Wang
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Software testing with large language models: Survey, landscape, and vision
J Wang, Y Huang, C Chen, Z Liu, S Wang, Q Wang
IEEE Transactions on Software Engineering, 2024
2042024
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
862020
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
782016
Fill in the blank: Context-aware automated text input generation for mobile gui testing
Z Liu, C Chen, J Wang, X Che, Y Huang, J Hu, Q Wang
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
752023
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
732019
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
672016
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
612018
Make llm a testing expert: Bringing human-like interaction to mobile gui testing via functionality-aware decisions
Z Liu, C Chen, J Wang, M Chen, B Wu, X Che, D Wang, Q Wang
Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024
462024
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
462022
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
442021
Chatting with gpt-3 for zero-shot human-like mobile automated gui testing
Z Liu, C Chen, J Wang, M Chen, B Wu, X Che, D Wang, Q Wang
arXiv preprint arXiv:2305.09434, 2023
402023
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
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
392022
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
392017
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
342012
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
312019
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
302017
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
302017
Fill in the blank: Context-aware automated text input generation for mobile gui testing. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
Z Liu, C Chen, J Wang, X Che, Y Huang, J Hu, Q Wang
IEEE, 1355ś1367, 2023
272023
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
272021
Understanding static code warnings: An incremental AI approach
X Yang, Z Yu, J Wang, T Menzies
Expert Systems with Applications 167, 114134, 2021
272021
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