• DocumentCode
    1363179
  • Title

    A nonparametric software-reliability growth model

  • Author

    Sofer, Ariela ; Miller, Douglas R.

  • Author_Institution
    George Mason Univ., Fairfax, VA, USA
  • Volume
    40
  • Issue
    3
  • fYear
    1991
  • fDate
    8/1/1991 12:00:00 AM
  • Firstpage
    329
  • Lastpage
    337
  • Abstract
    The authors (Proc. Eighth Int. Conf. Software Eng., London, England, p.343-4, 1985) previously introduced a nonparametric model for software-reliability growth which is based on complete monotonicity of the failure rate. The authors extend the completely monotone software model by developing a method for providing long-range predictions of reliability growth, based on the model. They derive upper and lower bounds on extrapolation of the failure rate and the mean function. These are then used to obtain estimates for the future software failure rate and the mean future number of failures. Preliminary evaluation indicates that the method is competitive with parametric approaches, while being more robust
  • Keywords
    software reliability; failure rate monotonicity; nonparametric software-reliability growth model; Computer bugs; Debugging; Extrapolation; Failure analysis; Linear algebra; Parametric statistics; Predictive models; Robustness; Software reliability; Statistical analysis;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.85453
  • Filename
    85453