• DocumentCode
    3472604
  • Title

    An improved model of software reliability growth under time-dependent learning effects

  • Author

    Chiu, Kuei-Chen

  • Author_Institution
    Department of Business Administration, Hsing Kuo University of Management, Taiwan, R.O.C.
  • fYear
    2011
  • fDate
    14-17 Sept. 2011
  • Firstpage
    191
  • Lastpage
    194
  • Abstract
    Over the last two decades, various software reliability growth models (SRGM) have been proposed, and there has been a gradual but marked shift in the balance between software reliability and software testing cost in recent years. Chiu and Huang (2008) provided a Software Reliability Growth Model from the Perspective of Learning Effects, which is able to reasonably describe the S-shaped and exponential-shaped types of behaviors simultaneously, and offers better performance when fitting different data with consideration of the learning effects. However, this earlier model assumes that the learning effects are constant. In contrast, this paper discusses a software reliability growth model with time-dependent learning effects.
  • Keywords
    Analytical models; Debugging; Mathematical model; Predictive models; Software; Software reliability; Testing; Learning Effects; Non-Homogeneous Poisson Process (NHPP); Reliability Growth; Software Reliability; Time-dependent Learning Effects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality and Reliability (ICQR), 2011 IEEE International Conference on
  • Conference_Location
    Bangkok, Thailand
  • Print_ISBN
    978-1-4577-0626-4
  • Type

    conf

  • DOI
    10.1109/ICQR.2011.6031707
  • Filename
    6031707