• DocumentCode
    3419447
  • Title

    Integrating generalized Weibull-type testing-effort function and multiple change-points into software reliability growth models

  • Author

    Lin, Chu-Ti ; Huang, Chin-Yu ; Chang, Jun-Ru

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2005
  • fDate
    15-17 Dec. 2005
  • Abstract
    In modern societies, software is everywhere and we need software to be reliable. In practice, during software development processes, software reliability assessment can greatly help managers to understand effectiveness of consumed testing-effort and deploy testing-resource. In the 1970s-2000, many software reliability growth models (SRGMs) have been proposed for estimation of reliability growth of software products. In this paper, the concept of multiple change-points is incorporated into Weibull-type testing-effort dependent SRGM because the consumption phenomenon of testing resource may vary at some moments. The performance and application of proposed models are demonstrated through one real data set. The experimental results show that the models give an excellence performance on failure prediction. Besides, we also discuss the optimal release time problems based on reliability requirement and cost criteria.
  • Keywords
    Weibull distribution; program testing; project management; software cost estimation; software reliability; cost criteria; failure prediction; generalized Weibull-type testing-effort function; multiple change-points; optimal release time problem; software development process; software reliability growth model; Application software; Computer errors; Costs; Hardware; Programming; Software reliability; Software systems; Software testing; Switches; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference, 2005. APSEC '05. 12th Asia-Pacific
  • ISSN
    1530-1362
  • Print_ISBN
    0-7695-2465-6
  • Type

    conf

  • DOI
    10.1109/APSEC.2005.74
  • Filename
    1607180