| 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 | 853 | 2016 |
| Deep Semantic Feature Learning for Software Defect Prediction S Wang, T Liu, J Nam, L Tan IEEE Transactions on Software Engineering, 2020 | 293 | 2020 |
| 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 | 198 | 2024 |
| 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 | 167 | 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 | 96 | 2017 |
| 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 | 77 | 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 | 73 | 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 | 70 | 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 | 67 | 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 | 64 | 2014 |
| 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 | 61 | 2018 |
| 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 | 58 | 2016 |
| Machine Learning-based Water Level Prediction in Lake Erie Q Wang, S Wang Water 12 (10), 2654, 2020 | 48 | 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 | 46 | 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 | 44 | 2021 |
| 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 | 38 | 2022 |
| 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 | 38 | 2017 |
| 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 https://arxiv.org/abs/2310.10508, 2023 | 34 | 2023 |
| 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 | 34 | 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 | 33 | 2013 |
Junjie WangInstitute of Software, Chinese Academy of SciencesVerified email at iscas.ac.cn
