Developing fault-prediction models:What the research can show industry

Hall, T. and Beecham, S. and Bowes, D. and Gray, D. and Counsell, S. (2011) Developing fault-prediction models:What the research can show industry. IEEE Software, 28 (6). pp. 96-99. ISSN 0740-7459

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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.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Software
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
ID Code:
132039
Deposited By:
Deposited On:
18 Mar 2019 10:50
Refereed?:
Yes
Published?:
Published
Last Modified:
26 May 2020 14:00