Comments on "data mining static code attributes to learn defect predictors"

被引：71

作者：

Zhang, Hongyu ^{[1
]}

Zhang, Xiuzhen

机构：

[1] Tsing Hua Univ, Sch Software, Beijing 100084, Peoples R China

[2] RMIT Univ, Sch Comp Sci & Informat Technol, Melbourne, Vic 3001, Australia

来源：

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING | 2007年 / 33卷 / 09期

关键词：

defect prediction; accuracy measures; static code attributes; empirical;

D O I：

10.1109/TSE.2007.70706

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：635 / 636

页数：2