Learning Human-Written Commit Messages to Document Code Changes-Reference-Cited by-同舟云学术

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Learning Human-Written Commit Messages to Document Code Changes

Published:2020-11 Issue:6 Volume:35 Page:1258-1277
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Huang Yuan,Jia Nan,Zhou Hao-Jie,Chen Xiang-Ping,Zheng Zi-Bin,Tang Ming-Dong

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11390-020-0496-0.pdf

Reference57 articles.

1. Barnett M, Bird C, Brunet J, Lahiri S K. Helping developers help themselves: Automatic decomposition of code review changesets. In Proc. the 37th IEEE/ACM International Conference on Software Engineering, May 2015, pp.134-144.

2. Huang Y, Jia N, Zhou Q, Chen X, Xiong Y F, Luo X N. Guiding developers to make informative commenting decisions in source code. In Proc. the 40th IEEE/ACM International Conference on Software Engineering: Companion, May 2018, pp.260-261.

3. Hattori L, Lanza M. On the nature of commits. In Proc. the 23rd IEEE/ACM International Conference on Automated Software Engineering, September 2008, pp.63-71.

4. Huang Y, Huang S, Chen H, Chen X, Zheng Z, Luo X, Jia N, Hu X, Zhou X. Towards automatically generating block comments for code snippets. Information and Software Technology, 2020, 127: Article No. 106373.

5. Tao Y, Dang Y, Xie T, Zhang D, Kim S. How do software engineers understand code changes? An exploratory study in industry. In Proc. the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering, November 2012, Article No. 51.

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2. KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation;ACM Transactions on Software Engineering and Methodology;2024-01-29

3. Mucha: Multi-channel based Code Change Representation Learning for Commit Message Generation;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22

4. From Commit Message Generation to History-Aware Commit Message Completion;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. A Full-fledged Commit Message Quality Checker Based on Machine Learning;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

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