Improving effort-aware defect prediction by directly learning to rank software modules X Yu, J Rao, L Liu, G Lin, W Hu, JW Keung, J Zhou, J Xiang Information and Software Technology 165, 107250, 2024 | 14 | 2024 |
Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? X Yu, L Liu, X Hu, JW Keung, J Liu, X Xia arXiv preprint arXiv:2405.12641, 2024 | 8 | 2024 |
Where Are Large Language Models for Code Generation on GitHub? X Yu, L Liu, X Hu, JW Keung, J Liu, X Xia arXiv preprint arXiv:2406.19544, 2024 | 7 | 2024 |
Revisiting" code smell severity classification using machine learning techniques" W Hu, L Liu, P Yang, K Zou, J Li, G Lin, J Xiang 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | 6 | 2023 |
Practitioners’ Expectations on Automated Test Generation X Yu, L Liu, X Hu, J Keung, X Xia, D Lo Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 3 | 2024 |
Revisiting Code Smell Severity Prioritization using learning to rank techniques L Liu, G Lin, L Zhu, Z Yang, P Song, X Wang, W Hu Expert Systems with Applications 249, 123483, 2024 | 2 | 2024 |