The Tragedy of Defect Prediction, Prince of Empirical Software Engineering Research

被引：28

作者：

Lanza, Michele ^{[1
]}

Mocci, Andrea ^{[1
]}

Ponzanelli, Luca ^{[1
,2
]}

机构：

[1] Univ Svizzera Italiana, REVEAL Res Grp, Lugano, Switzerland

[2] Univ Svizzera Italiana, Informat, Lugano, Switzerland

来源：

IEEE SOFTWARE | 2016年 / 33卷 / 06期

关键词：

FAULTS;

D O I：

10.1109/MS.2016.156

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

If measured by the number of published papers, defect prediction has become an important research field over the past decade, with many researchers continuously proposing novel approaches to predict defects in software systems. However, most of these approaches have had a noticeable lack of impact on industrial practice. This lack of impact is because something is intrinsically wrong in how defect prediction approaches are evaluated. © 2016 IEEE.

引用

页码：102 / 105

页数：4

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