Augmenting commit classification by using fine-grained source code changes and a pre-trained deep neural language model

Author:

Ghadhab Lobna,Jenhani Ilyes,Mkaouer Mohamed Wiem,Ben Messaoud Montassar

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference39 articles.

1. Feature changes in source code for commit classification into maintenance activities;Mariano,2019

2. Boosting automatic commit classification into maintenance activities by utilizing source code changes;Levin,2017

3. S. Gharbi, M.W. Mkaouer, I. Jenhani, M. Ben Messaoud, On the classification of software change messages using multi-label active learning, in: Proceedings of the 34rd Annual ACM Symposium on Applied Computing (SAC), 2019, pp. 1760–1767.

4. Automatic classification of large changes into maintenance categories;Hindle,2009

5. Tree2tree neural translation model for learning source code changes;Chakraborty,2018

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