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 :
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