This repo contains the code and data for our ARES'24 paper "On the Effectiveness of Large Language Models for GitHub Workflows". We performed the first large-scale study to investigate the effectiveness of LLMs on the tasks related to GitHub workflows.
Please cite our paper if you use it in your work:
@inproceedings{10.1145/3664476.3664497,
author = {Zhang, Xinyu and Muralee, Siddharth and Cherupattamoolayil, Sourag and Machiry, Aravind},
title = {On the Effectiveness of Large Language Models for GitHub Workflows},
year = {2024},
isbn = {9798400717185},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3664476.3664497},
doi = {10.1145/3664476.3664497},
booktitle = {Proceedings of the 19th International Conference on Availability, Reliability and Security},
articleno = {32},
numpages = {14},
location = {Vienna, Austria},
series = {ARES '24}
}