Title :
Comments on "Data Mining Static Code Attributes to Learn Defect Predictors"
Author :
Zhang, Hongyu ; Zhang, Xiuzhen
Author_Institution :
Sch. of Software, Tsinghua Univ., Beijing
Abstract :
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 detection (pd) and probability of false alarm (pf) as accuracy measures may lead to impractical prediction models.
Keywords :
data mining; learning (artificial intelligence); data mining static code attributes; defect predictors; detection probability; false alarm probability; Accuracy; Area measurement; Data mining; Information retrieval; Machine learning; Predictive models; Q measurement; Resource management; Training data; accuracy measures; defect prediction; empirical; static code attributes;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.2007.70706
