Building an Ensemble for Software Defect Prediction Based on Diversity Selection

Abstract

Background: Ensemble techniques have gained attention in various scientific fields. Defect prediction researchers have investigated many state-of-the-art ensemble models and concluded that in many cases these outperform standard single classifier techniques. Almost all previous work using ensemble techniques in defect prediction rely on the majority voting… (More)
DOI: 10.1145/2961111.2962610

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