Provide languge models for commit classification, data sets and protocols.
Part of the supplementary Materials of the "The Corrective Commit Probability Code Quality Metric" paper by Idan Amit and Dror G. Feitelson. Promise 2019
Please cite as
@misc{amit2020corrective,
title={The Corrective Commit Probability Code Quality Metric},
author={Idan Amit and Dror G. Feitelson},
year={2020},
eprint={2007.10912},
archivePrefix={arXiv},
primaryClass={cs.SE}
}
And the supplementary Materials of the "Which Refactoring Reduces Bug Rate?" paper by Idan Amit and Dror G. Feitelson. Promise 2019
Please cite as
@inproceedings{Amit:2019:RRB:3345629.3345631,
author = {Amit, Idan and Feitelson, Dror G.},
title = {Which Refactoring Reduces Bug Rate?},
booktitle = {Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering},
series = {PROMISE'19},
year = {2019},
isbn = {978-1-4503-7233-6},
location = {Recife, Brazil},
pages = {12--15},
numpages = {4},
url = {http://doi.acm.org/10.1145/3345629.3345631},
doi = {10.1145/3345629.3345631},
acmid = {3345631},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Code quality, machine learning, refactoring},
}