An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction

Arvinder Kaur, Kamaldeep Kaur. An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction. In El-Sayed M. El-Alfy, Sabu M. Thampi, Hideyuki Takagi, Selwyn Piramuthu, Thomas Hanne, editors, Advances in Intelligent Informatics - Proceedings of the Third International Symposium on Intelligent Informatics, ISI 2014, September 24-27, 2014, Greater Noida, Delhi, India. Volume 320 of Advances in Intelligent Systems and Computing, pages 383-397, Springer, 2014. [doi]

@inproceedings{KaurK14-2,
  title = {An Empirical Study of Robustness and Stability of Machine Learning Classifiers in Software Defect Prediction},
  author = {Arvinder Kaur and Kamaldeep Kaur},
  year = {2014},
  doi = {10.1007/978-3-319-11218-3_35},
  url = {http://dx.doi.org/10.1007/978-3-319-11218-3_35},
  researchr = {https://researchr.org/publication/KaurK14-2},
  cites = {0},
  citedby = {0},
  pages = {383-397},
  booktitle = {Advances in Intelligent Informatics - Proceedings of the Third International Symposium on Intelligent Informatics, ISI 2014, September 24-27, 2014, Greater Noida, Delhi, India},
  editor = {El-Sayed M. El-Alfy and Sabu M. Thampi and Hideyuki Takagi and Selwyn Piramuthu and Thomas Hanne},
  volume = {320},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-319-11217-6},
}