• 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