Pecorelli, F., Di Nucci, D., De Roover, C., & De Lucia, A. (2020). A large empirical assessment of the role of data balancing in machine-learning-based code smell detection. The Journal of systems and software, 169, 110693. https://doi.org/10.1016/j.jss.2020.110693
Chicago-Zitierstil (17. Ausg.)Pecorelli, Fabiano, Dario Di Nucci, Coen De Roover, und Andrea De Lucia. "A Large Empirical Assessment of the Role of Data Balancing in Machine-learning-based Code Smell Detection." The Journal of Systems and Software 169 (2020): 110693. https://doi.org/10.1016/j.jss.2020.110693.
MLA-Zitierstil (9. Ausg.)Pecorelli, Fabiano, et al. "A Large Empirical Assessment of the Role of Data Balancing in Machine-learning-based Code Smell Detection." The Journal of Systems and Software, vol. 169, 2020, p. 110693, https://doi.org/10.1016/j.jss.2020.110693.