• DocumentCode
    1298732
  • Title

    Evaluation of competing software reliability predictions

  • Author

    Abdel-ghaly, Abdalla A. ; Chan, P.Y. ; Littlewood, Bev

  • Author_Institution
    Center for Software Reliability, City Univ., London, UK
  • Issue
    9
  • fYear
    1986
  • Firstpage
    950
  • Lastpage
    967
  • Abstract
    Different software reliability models can produce very different answers when called on to predict future reliability in a reliability growth context. Users need to know which, if any, of the competing predictions are trustworthy. Some techniques are presented which form the basis of a partial solution to this problem. Rather than attempting to decide which model is generally best, the approach adopted allows a user to decide on the most appropriate model for each application.
  • Keywords
    software reliability; partial solution; reliability growth context; software reliability models; software reliability predictions; Analytical models; Bayesian methods; Maximum likelihood estimation; Predictive models; Random variables; Software reliability; Prediction analysis; prediction biasedness and noise; prediction systems; predictive quality; prequential likelihood; software reliability models;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/TSE.1986.6313050
  • Filename
    6313050