• DocumentCode
    2366249
  • Title

    Unification of finite failure non-homogeneous Poisson process models through test coverage

  • Author

    Gokhale, Swapna S. ; Philip, Teebu ; Marinos, Peter N. ; Trivedi, Kishor S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • fYear
    1996
  • fDate
    30 Oct-2 Nov 1996
  • Firstpage
    299
  • Lastpage
    307
  • Abstract
    A number of analytical software reliability models have been proposed for estimating the reliability growth of a software product. We present an Enhanced Non-Homogeneous Poisson Process (ENHPP) model and show that previously reported Non-Homogeneous Poisson Process (NHPP) based models, with bounded mean valve functions, are special cases of the ENHPP model. The ENHPP model differs from previous models in that it incorporates explicitly the time varying test coverage function in its analytical formulation, and provides for defective fault detection and test coverage during the testing and operational phases. The ENHPP model is validated using several available failure data sets
  • Keywords
    program testing; software fault tolerance; software reliability; stochastic processes; ENHPP model; Enhanced Non-Homogeneous Poisson Process; analytical formulation; analytical software reliability models; bounded mean valve functions; defective fault detection; failure data sets; finite failure non-homogeneous Poisson process model unification; reliability growth estimation; software product; time varying test coverage function; Analytical models; Availability; Contracts; Fault detection; Laboratories; Military computing; Predictive models; Software measurement; Software testing; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering, 1996. Proceedings., Seventh International Symposium on
  • Conference_Location
    White Plains, NY
  • Print_ISBN
    0-8186-7707-4
  • Type

    conf

  • DOI
    10.1109/ISSRE.1996.558886
  • Filename
    558886