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        Developing Fault-Prediction Models : What the research can show industry

        Author
        Hall, Tracy
        Beecham, Sarah
        Bowes, David
        Gray, David
        Counsell, Steve
        Attention
        2299/6982
        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.
        Publication date
        2011
        Published in
        IEEE Software
        Published version
        https://doi.org/10.1109/MS.2011.138
        Other links
        http://hdl.handle.net/2299/6982
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