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

Title
An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data
Authors
Keywords
Defect prediction, Imbalanced data, Oversampling methods, MetaCost learners, Machine learning techniques, Procedural metrics
Journal
NEUROCOMPUTING
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-02-04
DOI
10.1016/j.neucom.2018.04.090

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