• DocumentCode
    2223849
  • Title

    Optimal software release policy with change-point

  • Author

    Inoue, Shinji ; Yamada, Shigeru

  • Author_Institution
    Grad. Sch. of Eng., Tottori Univ., Japan
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    531
  • Lastpage
    535
  • Abstract
    Testing-time when a characteristic of a software failure-occurrence or fault-detection phenomenon is notably changed is ordinarily called change-point. The effect of the change-point on software reliability growth process influences on accuracy of the software reliability assessment based on SRGMs which are mostly developed under the assumption that the stochastic characteristic of the software failure-occurrence or the fault-detection phenomenon does not change throughout the testing. In this paper, we discuss a framework for software reliability growth modeling with change-point as one of the solutions to incorporate the effect of the change-point into software reliability assessment, and also discuss its application to an optimal software release problem with change-point. That is one of the interesting issues for project management of software development. Finally, we show numerical examples of our model and derived software release policy by using actual data.
  • Keywords
    project management; software reliability; stochastic processes; project management; software development; software failure-occurrence; software fault-detection; software release policy; software release problem; software reliability assessment; software reliability growth process; Application software; Fault detection; Hazards; Parameter estimation; Programming; Project management; Resource management; Software reliability; Software testing; Stochastic processes; Change-Point; Modeling Framework; Nonhomogeneous Poisson Process; Optimal Software Release Problem; Software Reliability Growth Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4737925
  • Filename
    4737925