RegMiner: towards constructing a large regression dataset from code evolution history

Author:

Song Xuezhi1,Lin Yun2,Ng Siang Hwee3,Wu Yijian1,Peng Xin1,Dong Jin Song3,Mei Hong4

Affiliation:

1. Fudan University, China

2. Shanghai Jiao Tong University, China / National University of Singapore, Singapore

3. National University of Singapore, Singapore

4. Peking University, China

Publisher

ACM

Reference68 articles.

1. [n. d.]. Git-bisect Webiste. https://git-scm.com/docs/git-bisect Accessed: 2022-01-28. [n. d.]. Git-bisect Webiste. https://git-scm.com/docs/git-bisect Accessed: 2022-01-28.

2. [n. d.]. RegMiner Webiste. https://sites.google.com/view/regminer/home Accessed: 2022-01-28. [n. d.]. RegMiner Webiste. https://sites.google.com/view/regminer/home Accessed: 2022-01-28.

3. Learning-to-rank vs ranking-to-learn

4. CoREBench: studying complexity of regression errors

Cited by 4 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. BugMiner: Automating Precise Bug Dataset Construction by Code Evolution History Mining;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

2. Neural SZZ Algorithm;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

3. On the Reproducibility of Software Defect Datasets;2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE);2023-05

4. RegMiner: mining replicable regression dataset from code repositories;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2022-11-07

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