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

Tracy Hall, Sarah Beecham, David Bowes, David Gray, Steve Counsell

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)


    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.
    Original languageEnglish
    Pages (from-to)96-99
    Number of pages4
    JournalIEEE Software
    Issue number6
    Publication statusPublished - 2011


    • fault-prediction models


    Dive into the research topics of 'Developing Fault-Prediction Models: What the research can show industry'. Together they form a unique fingerprint.

    Cite this