A preliminary investigation on using multi-task learning to predict change performance in code reviews L Yang, H Zhang, J Xu, J Lyu, X Zhou, D Shao, S Gao, A Bacchelli Empirical Software Engineering 29 (6), 157, 2024 | 1 | 2024 |
Investigating Efficacy of Perplexity in Detecting LLM-Generated Code J Xu, H Zhang, Y Yang, Z Cheng, J Lyu, B Liu, X Zhou, L Yang, ... arXiv preprint arXiv:2412.16525, 2024 | | 2024 |
An Explainable Automated Model for Measuring Software Engineer Contribution Y Li, H Zhang, Y Jin, Z Ren, L Dong, J Lyu, L Yang, D Lo, D Shao Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | | 2024 |
GPP: A Graph-Powered Prioritizer for Code Review Requests L Yang, J Xu, H Zhang, F Wu, J Lyu, Y Li, A Bacchelli Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | | 2024 |
Detecting Build Dependency Errors in Incremental Builds J Lyu, S Li, H Zhang, Y Zhang, G Rong, M Rigger Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | | 2024 |
Towards Efficient Build Ordering for Incremental Builds with Multiple Configurations J Lyu, S Li, H Zhang, L Yang, B Liu, M Rigger Proceedings of the ACM on Software Engineering 1 (FSE), 1494-1517, 2024 | | 2024 |