Markus Borg, Oscar Svensson, Kristian Berg, Daniel Hansson. SZZ unleashed: an open implementation of the SZZ algorithm - featuring example usage in a study of just-in-time bug prediction for the Jenkins project. In Francesca Arcelli Fontana, Bartosz Walter, Apostolos Ampatzoglou, Fabio Palomba, Gilles Perrouin, Mathieu Acher, Maxime Cordy, Xavier Devroey, editors, Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 27, 2019. pages 7-12, ACM, 2019. [doi]
@inproceedings{BorgSBH19,
title = {SZZ unleashed: an open implementation of the SZZ algorithm - featuring example usage in a study of just-in-time bug prediction for the Jenkins project},
author = {Markus Borg and Oscar Svensson and Kristian Berg and Daniel Hansson},
year = {2019},
doi = {10.1145/3340482.3342742},
url = {https://doi.org/10.1145/3340482.3342742},
researchr = {https://researchr.org/publication/BorgSBH19},
cites = {0},
citedby = {0},
pages = {7-12},
booktitle = {Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 27, 2019},
editor = {Francesca Arcelli Fontana and Bartosz Walter and Apostolos Ampatzoglou and Fabio Palomba and Gilles Perrouin and Mathieu Acher and Maxime Cordy and Xavier Devroey},
publisher = {ACM},
isbn = {978-1-4503-6855-1},
}