Deep semi-supervised learning for recovering traceability links between issues and commits

Author:

Zhu Jianfei,Xiao GuanpingORCID,Zheng Zheng,Sui Yulei

Publisher

Elsevier BV

Reference43 articles.

1. A comparative study of methods for transductive transfer learning;Arnold,2007

2. Bachmann, A., Bird, C., Rahman, F., Devanbu, P., Bernstein, A., 2010. The missing links: bugs and bug-fix commits. In: Proceedings of the 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering. FSE, pp. 97–106.

3. Towards better understanding of software quality evolution through commit-impact analysis;Behnamghader,2017

4. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples;Belkin;J. Mach. Learn. Res.,2006

5. Berthelot, D., Carlini, N., Cubuk, E.D., Kurakin, A., Sohn, K., Zhang, H., Raffel, C., 2019a. Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring. In: International Conference on Learning Representations. ICLR.

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