On the role of data balancing for machine learning-based code smell detection

Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia. On the role of data balancing for machine learning-based code smell detection. 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 19-24, ACM, 2019. [doi]

@inproceedings{PecorelliNRL19,
  title = {On the role of data balancing for machine learning-based code smell detection},
  author = {Fabiano Pecorelli and Dario Di Nucci and Coen De Roover and Andrea De Lucia},
  year = {2019},
  doi = {10.1145/3340482.3342744},
  url = {https://doi.org/10.1145/3340482.3342744},
  researchr = {https://researchr.org/publication/PecorelliNRL19},
  cites = {0},
  citedby = {0},
  pages = {19-24},
  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},
}