Valentina Lenarduzzi, Antonio Martini, Davide Taibi, Damian Andrew Tamburri. Towards surgically-precise technical debt estimation: early results and research roadmap. 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 37-42, ACM, 2019. [doi]
@inproceedings{LenarduzziMTT19,
title = {Towards surgically-precise technical debt estimation: early results and research roadmap},
author = {Valentina Lenarduzzi and Antonio Martini and Davide Taibi and Damian Andrew Tamburri},
year = {2019},
doi = {10.1145/3340482.3342747},
url = {https://doi.org/10.1145/3340482.3342747},
researchr = {https://researchr.org/publication/LenarduzziMTT19},
cites = {0},
citedby = {0},
pages = {37-42},
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},
}