On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios

arXiv:2202.12074v2 Announce Type: replace-cross
Abstract: Defect prediction aims at identifying software components that are likely to cause faults before a software is made available to the end-user. To date, this task has been modeled as a two-class classification problem, however its nature also allows it to be formulated as a one-class classification task. Previous studies show that One-Class Support Vector Machine (OCSVM) can outperform two-class classifiers for within-project defect prediction, however it is not effective when employed at a finer …

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