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 | 226 | 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 | 106 | 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 | 73 | 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 | 51 | 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 | 44 | 2020 |
Just-In-Time Obsolete Comment Detection and Update Z Liu, X Xia, D Lo, M Yan, S Li IEEE Transactions on Software Engineering, 2021 | 20 | 2021 |
Automatic, highly accurate app permission recommendation Z Liu, X Xia, D Lo, J Grundy Automated Software Engineering 26, 241-274, 2019 | 17 | 2019 |
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 | 11 | 2022 |
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back Z Liu, Z Tang, X Xia, X Yang arXiv preprint arXiv:2302.03924, 2023 | 9 | 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 | 9 | 2022 |
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 | 9 | 2021 |
CCT5: A Code-Change-Oriented Pre-Trained Model B Lin, S Wang, Z Liu, Y Liu, X Xia, X Mao arXiv preprint arXiv:2305.10785, 2023 | 5 | 2023 |
Towards More Realistic Evaluation for Neural Test Oracle Generation Z Liu, K Liu, X Xia, X Yang arXiv preprint arXiv:2305.17047, 2023 | 4 | 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 | 4 | 2021 |
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, 2023 | 3 | 2023 |
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 | 1 | 2023 |
Parameter Description Generation with the Code Parameter Flow Q Chen, Z Yang, Z Liu, S Li, C Gao 2022 IEEE 22nd International Conference on Software Quality, Reliability and …, 2022 | 1 | 2022 |
Improving Code Summarization Through Automated Quality Assurance Y Hu, M Yan, Z Liu, Q Chen, B Wang 2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021 | 1 | 2021 |
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks Z Liu, Z Tang, J Zhang, X Xia, X Yang arXiv preprint arXiv:2402.00657, 2024 | | 2024 |
JumpCoder: Go Beyond Autoregressive Coder via Online Modification M Chen, H Tian, Z Liu, X Ren, J Sun arXiv preprint arXiv:2401.07870, 2024 | | 2024 |