| A survey of learning-based automated program repair Q Zhang, C Fang, Y Ma, W Sun, Z Chen ACM Transactions on Software Engineering and Methodology 33 (2), 1-69, 2023 | 65 | 2023 |
| CIRCLE: Continual Repair across Programming Languages W Yuan, Q Zhang, T He, C Fang, NQV Hung, X Hao, H Yin Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 51 | 2022 |
| Code search based on context-aware code translation W Sun, C Fang, Y Chen, G Tao, T Han, Q Zhang Proceedings of the 44th International Conference on Software Engineering …, 2022 | 47 | 2022 |
| Automatic code summarization via chatgpt: How far are we? W Sun, C Fang, Y You, Y Miao, Y Liu, Y Li, G Deng, S Huang, Y Chen, ... arXiv preprint arXiv:2305.12865, 2023 | 44 | 2023 |
| A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair Q Zhang, T Zhang, J Zhai, C Fang, B Yu, W Sun, Z Chen arXiv preprint arXiv:2310.08879, 2023 | 41 | 2023 |
| Regression test case prioritization by code combinations coverage R Huang, Q Zhang, D Towey, W Sun, J Chen Journal of Systems and Software 169, 110712, 2020 | 34 | 2020 |
| Gamma: Revisiting template-based automated program repair via mask prediction Q Zhang, C Fang, T Zhang, B Yu, W Sun, Z Chen 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 23 | 2023 |
| Pre-trained model-based automated software vulnerability repair: How far are we? Q Zhang, C Fang, B Yu, W Sun, T Zhang, Z Chen IEEE Transactions on Dependable and Secure Computing, 2023 | 22 | 2023 |
| Program repair: Automated vs. manual Q Zhang, Y Zhao, W Sun, C Fang, Z Wang, L Zhang arXiv preprint arXiv:2203.05166, 2022 | 18 | 2022 |
| A survey on large language models for software engineering Q Zhang, C Fang, Y Xie, Y Zhang, Y Yang, W Sun, S Yu, Z Chen arXiv preprint arXiv:2312.15223, 2023 | 17 | 2023 |
| APPT: Boosting Automated Patch Correctness Prediction via Fine-tuning Pre-trained Models Q Zhang, C Fang, W Sun, Y Liu, T He, X Hao, Z Chen IEEE Transactions on Software Engineering, 2024 | 16* | 2024 |
| Backdooring neural code search W Sun, Y Chen, G Tao, C Fang, X Zhang, Q Zhang, B Luo arXiv preprint arXiv:2305.17506, 2023 | 13 | 2023 |
| An extractive-and-abstractive framework for source code summarization W Sun, C Fang, Y Chen, Q Zhang, G Tao, Y You, T Han, Y Ge, Y Hu, ... ACM Transactions on Software Engineering and Methodology 33 (3), 1-39, 2024 | 8 | 2024 |
| Mobile app crowdsourced test report consistency detection via deep image-and-text fusion understanding S Yu, C Fang, Q Zhang, Z Cao, Y Yun, Z Cao, K Mei, Z Chen IEEE Transactions on Software Engineering 49 (8), 4115-4134, 2023 | 7 | 2023 |
| An empirical comparison of fixed-strength and mixed-strength for interaction coverage based prioritization R Huang, Q Zhang, TY Chen, J Hamlyn-Harris, D Towey, J Chen IEEE Access 6, 68350-68372, 2018 | 7 | 2018 |
| Test case prioritization using partial attention Q Zhang, C Fang, W Sun, S Yu, Y Xu, Y Liu Journal of Systems and Software 192, 111419, 2022 | 6 | 2022 |
| Investigating Coverage Guided Fuzzing with Mutation Testing R Qian, Q Zhang, C Fang, L Guo Proceedings of the 13th Asia-Pacific Symposium on Internetware, 272–281, 2022 | 6 | 2022 |
| A Systematic Literature Review on Large Language Models for Automated Program Repair Q Zhang, C Fang, Y Xie, YX Ma, W Sun, Y Yang, Z Chen arXiv preprint arXiv:2405.01466, 2024 | 5 | 2024 |
| On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained Encoder T Han, S Huang, Z Ding, W Sun, Y Feng, C Fang, J Li, H Qian, C Wu, ... arXiv preprint arXiv:2403.03846, 2024 | 4 | 2024 |
| A Prompt Learning Framework for Source Code Summarization W Sun, C Fang, Y You, Y Chen, Y Liu, C Wang, J Zhang, Q Zhang, H Qian, ... arXiv preprint arXiv:2312.16066, 2023 | 4 | 2023 |
