DocumentCode
1355628
Title
Developing Fault-Prediction Models: What the Research Can Show Industry
Author
Hall, Tracy ; Beecham, Sarah ; Bowes, David ; Gray, David ; Counsell, Steve
Author_Institution
Brunel Univ., Uxbridge, UK
Volume
28
Issue
6
fYear
2011
Firstpage
96
Lastpage
99
Abstract
A systematic review of the research literature on fault-prediction models from 2000 through 2010 identified 36 studies that sufficiently defined their models and development context and methodology. The authors quantitatively analyzed 19 of these studies and the 206 models they presented. They identified several key features to help industry software developers build or optimize fault-prediction models suitable to their specific contexts.
Keywords
software development management; software fault tolerance; fault-prediction models; industry software; Fault detection; Predictive methods; Software development; fault-prediction models;
fLanguage
English
Journal_Title
Software, IEEE
Publisher
ieee
ISSN
0740-7459
Type
jour
DOI
10.1109/MS.2011.138
Filename
6055666
Link To Document