Retrieve and Refine: Exemplar-Based Neural Comment Generation
@article{Wei2019RetrieveAR, title={Retrieve and Refine: Exemplar-Based Neural Comment Generation}, author={Bolin Wei}, journal={2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)}, year={2019}, pages={1250-1252} }
Code comment generation is a crucial task in the field of automatic software development. Most previous neural comment generation systems used an encoder-decoder neural network and encoded only information from source code as input. Software reuse is common in software development. However, this feature has not been introduced to existing systems. Inspired by the traditional IR-based approaches, we propose to use the existing comments of similar source code as exemplars to guide the comment… CONTINUE READING
References
SHOWING 1-10 OF 12 REFERENCES
Deep Code Comment Generation
- Computer Science
- 2018 IEEE/ACM 26th International Conference on Program Comprehension (ICPC)
- 2018
- 149
- Highly Influential
- PDF
A Neural Model for Generating Natural Language Summaries of Program Subroutines
- Computer Science
- 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)
- 2019
- 34
- Highly Influential
- PDF
Neural-Machine-Translation-Based Commit Message Generation: How Far Are We?
- Computer Science
- 2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE)
- 2018
- 51
- Highly Influential
- PDF
AutoComment: Mining question and answer sites for automatic comment generation
- Computer Science
- 2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)
- 2013
- 155
- Highly Influential
- PDF
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
- Computer Science
- 2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE)
- 2018
- 68
- Highly Influential
- PDF
Learning-Based Recursive Aggregation of Abstract Syntax Trees for Code Clone Detection
- Computer Science
- 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)
- 2019
- 24
- Highly Influential
Towards automatically generating summary comments for Java methods
- Computer Science
- ASE '10
- 2010
- 334
- Highly Influential
- PDF
CCFinder: A Multilinguistic Token-Based Code Clone Detection System for Large Scale Source Code
- Computer Science
- IEEE Trans. Software Eng.
- 2002
- 1,563
- Highly Influential
- PDF
Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code
- Computer Science
- IJCAI
- 2017
- 69
- Highly Influential
- PDF
SourcererCC: Scaling Code Clone Detection to Big-Code
- Computer Science
- 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE)
- 2016
- 241
- Highly Influential
- PDF