| Neural-machine-translation-based commit message generation: how far are we? Z Liu, X Xia, AE Hassan, D Lo, Z Xing, X Wang Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 260 | 2018 |
| Automatic generation of pull request descriptions Z Liu, X Xia, C Treude, D Lo, S Li 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 121 | 2019 |
| SATD Detector: A text-mining-based self-admitted technical debt detection tool Z Liu, Q Huang, X Xia, E Shihab, D Lo, S Li Proceedings of the 40th International Conference on Software Engineering …, 2018 | 82 | 2018 |
| Which variables should i log? Z Liu, X Xia, D Lo, Z Xing, AE Hassan, S Li IEEE Transactions on Software Engineering 47 (9), 2012-2031, 2019 | 68 | 2019 |
| Automating just-in-time comment updating Z Liu, X Xia, M Yan, S Li Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 54 | 2020 |
| Cct5: A code-change-oriented pre-trained model B Lin, S Wang, Z Liu, Y Liu, X Xia, X Mao Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 40 | 2023 |
| Vulnerability detection by learning from syntax-based execution paths of code J Zhang, Z Liu, X Hu, X Xia, S Li IEEE Transactions on Software Engineering 49 (8), 4196-4212, 2023 | 37 | 2023 |
| Just-in-time obsolete comment detection and update Z Liu, X Xia, D Lo, M Yan, S Li IEEE Transactions on Software Engineering 49 (1), 1-23, 2021 | 31 | 2021 |
| Ccrep: Learning code change representations via pre-trained code model and query back Z Liu, Z Tang, X Xia, X Yang 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 28 | 2023 |
| Towards more realistic evaluation for neural test oracle generation Z Liu, K Liu, X Xia, X Yang Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 25 | 2023 |
| Investigating and improving log parsing in practice Y Fu, M Yan, J Xu, J Li, Z Liu, X Zhang, D Yang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 23 | 2022 |
| Predictive comment updating with heuristics and ast-path-based neural learning: A two-phase approach B Lin, S Wang, Z Liu, X Xia, X Mao IEEE Transactions on Software Engineering 49 (4), 1640-1660, 2022 | 21 | 2022 |
| Automatic, highly accurate app permission recommendation Z Liu, X Xia, D Lo, J Grundy Automated Software Engineering 26, 241-274, 2019 | 18 | 2019 |
| Exploring the capabilities of llms for code change related tasks L Fan, J Liu, Z Liu, D Lo, X Xia, S Li ACM Transactions on Software Engineering and Methodology, 2024 | 16 | 2024 |
| Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach X Hu, Z Liu, X Xia, Z Liu, T Xu, X Yang 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 15 | 2023 |
| Quality Assurance for Automated Commit Message Generation B Wang, M Yan, Z Liu, L Xu, X Xia, X Zhang, D Yang 2021 IEEE International Conference on Software Analysis, Evolution and …, 2021 | 13 | 2021 |
| Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks Z Liu, Z Tang, J Zhang, X Xia, X Yang Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 10 | 2024 |
| Revisiting the Identification of the Co-evolution of Production and Test Code W Sun, M Yan, Z Liu, X Xia, Y Lei, D Lo ACM Transactions on Software Engineering and Methodology 32 (6), 1-37, 2023 | 10 | 2023 |
| Robust Test Selection for Deep Neural Networks W Sun, M Yan, Z Liu, D Lo IEEE Transactions on Software Engineering 49 (12), 5250-5278, 2023 | 6 | 2023 |
| Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network Z Wang, S Huang, Z Liu, M Yan, X Xia, B Wang, D Yang 2021 IEEE International Conference on Software Analysis, Evolution and …, 2021 | 5 | 2021 |
