An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data

R Malhotra, S Kamal - Neurocomputing, 2019 - Elsevier
Software defect prediction is important to identify defects in the early phases of software
development life cycle. This early identification and thereby removal of software defects is …
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[引用][C] An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data

R Malhotra, S Kamal - Neurocomputing, 2019 - cir.nii.ac.jp
An empirical study to investigate oversampling methods for improving software defect
prediction using imbalanced data | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …

An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data

R Malhotra, S Kamal - 2019 - dl.acm.org
Software defect prediction is important to identify defects in the early phases of software
development life cycle. This early identification and thereby removal of software defects is …