Comments on data mining static code attributes to learn defect predictors

Hongyu Zhang

doi:10.1109/TSE.2007.70706

Comments on data mining static code attributes to learn defect predictors

2007-09-01

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DOI：10.1109/TSE.2007.70706

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Abstract

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In this correspondence, we point out a discrepancy in a recent paper, Data Mining Static Code Attributes to Learn Defect Predictors, that was published in this journal. Because of the small percentage of defective modules, using Probability of Detectionpd) and Probability of False Alarm (pf) as accuracy measures may lead to impractical prediction models.

Keywords:

defect prediction

accuracy measures

static code attributes

empirical

Comments on data mining static code attributes to learn defect predictors

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