Studying just-in-time defect prediction using cross-project models

Author:

Kamei Yasutaka,Fukushima Takafumi,McIntosh Shane,Yamashita Kazuhiro,Ubayashi Naoyasu,Hassan Ahmed E.

Publisher

Springer Science and Business Media LLC

Subject

Software

Cited by 156 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A novel instance‐based method for cross‐project just‐in‐time defect prediction;Software: Practice and Experience;2024-01-24

2. Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics;Journal of Systems and Software;2023-12

3. A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

4. A study on the impact of pre-trained model on Just-In-Time defect prediction;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22

5. The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

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