Improving Code Readability: A Machine Learning Approach to Classifying Valuable Source Code Comments.
| Anthology ID: | DBLP:conf/fire/Agrawal24 |
|---|---|
| Volume: | Working Notes of FIRE 2024 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 12-15, 2024. |
| Year: | 2024 |
| Venue: | Forum for Information Retrieval Evaluation (FIRE) |
| Publisher: | CEUR-WS.org |
| Pages: | 587-593 |
| URL: | https://ceur-ws.org/Vol-4054/T9-7.pdf |
| DBLP: | conf/fire/Agrawal24 |
| BibTeX: |
@inproceedings{agrawal-2024-improving,
author = {Subhash Agrawal},
editor = {Kripabandhu Ghosh and
Thomas Mandl and
Prasenjit Majumder and
Debasis Ganguly},
title = {{Improving Code Readability: A Machine Learning Approach to Classifying Valuable Source Code Comments}},
booktitle = {{Working Notes of FIRE 2024 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 12-15, 2024}},
series = {CEUR Workshop Proceedings},
volume = {4054},
pages = {587--593},
publisher = {CEUR-WS.org},
year = {2024},
url = {https://ceur-ws.org/Vol-4054/T9-7.pdf}
}