• DocumentCode
    1351264
  • Title

    S-Shaped Reliability Growth Modeling for Software Error Detection

  • Author

    Yamada, Shigeru ; Ohba, Mitsuru ; Osaki, Shunji

  • Author_Institution
    Okayama University of Science, Okayama; Department of Industrial and Systems Engineering; Faculty of Engineering; Hiroshima University; Higashi-Hiroshima 724 JAPAN.
  • Issue
    5
  • fYear
    1983
  • Firstpage
    475
  • Lastpage
    484
  • Abstract
    This paper investigates a stochastic model for a software error detection process in which the growth curve of the number of detected software errors for the observed data is S-shaped. The software error detection model is a nonhomogeneous Poisson process where the mean-value function has an S-shaped growth curve. The model is applied to actual software error data. Statistical inference on the unknown parameters is discussed. The model fits the observed data better than other models.
  • Keywords
    Computer errors; Covariance matrix; Data analysis; Maximum likelihood detection; Programming; Software reliability; Software systems; Software testing; Software tools; Stochastic processes; Asymptotic distribution; Nonhomogeneous Poisson process; S- shaped growth; Software error detection; Software reliability model; Statistical inference;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1983.5221735
  • Filename
    5221735