On the use of evaluation measures for defect prediction studies
Rebecca Moussa, Federica Sarro
Abstract
Software defect prediction research has adopted various evaluation measures to assess the performance of prediction models. In this paper, we further stress on the importance of the choice of appropriate measures in order to correctly assess strengths and weaknesses of a given defect prediction model, especially given that most of the defect prediction tasks suffer from data imbalance.
Topics & Concepts
Strengths and weaknessesComputer sciencePredictive modellingSoftware bugReliability engineeringSoftwareMachine learningData miningEngineeringPsychologySocial psychologyProgramming languageSoftware Engineering ResearchSoftware Reliability and Analysis ResearchSoftware Testing and Debugging Techniques