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Bivariate change-point modeling for software reliability assessment with uncertainty of testing-environment factor

Author

Listed:
  • Shinji Inoue

    (Tottori University)

  • Jun Ikeda

    (Tottori University)

  • Shigeru Yamada

    (Tottori University)

Abstract

We observe a phenomenon that the probabilistic characteristic of software failure-occurrence time-interval change notably in an actual testing-phase of a software development process. Testing-time observing such phenomenon is ordinarily called change-point. This phenomenon is treated as one of the factors affecting the accuracy of software reliability assessment based on a software reliability growth model. And regarding software reliability growth modeling, a bivariate software reliability growth model, which describes a software reliability growth process depending on the software reliability growth factor consists of testing-time and testing-effort factors, has been proposed for improving software reliability assessment accuracy based on the software reliability growth process. In this paper, we develop a bivariate software reliability growth model considering with the uncertainty of the change of software failure-occurrence phenomenon at the change-point for improving more the accuracy. Finally we show numerical examples of our model by using actual data.

Suggested Citation

  • Shinji Inoue & Jun Ikeda & Shigeru Yamada, 2016. "Bivariate change-point modeling for software reliability assessment with uncertainty of testing-environment factor," Annals of Operations Research, Springer, vol. 244(1), pages 209-220, September.
    • Handle: RePEc:spr:annopr:v:244:y:2016:i:1:d:10.1007_s10479-015-1869-6
    DOI: 10.1007/s10479-015-1869-6
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    1. Can Huang & Luc Soete, 2008. "Policy forum," Science and Public Policy, Oxford University Press, vol. 35(10), pages 771-781, December.
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    Cited by:

    1. Mengmeng Zhu & Hoang Pham, 2022. "A generalized multiple environmental factors software reliability model with stochastic fault detection process," Annals of Operations Research, Springer, vol. 311(1), pages 525-546, April.
    2. Da Hye Lee & In Hong Chang & Hoang Pham, 2020. "Software Reliability Model with Dependent Failures and SPRT," Mathematics, MDPI, vol. 8(8), pages 1-14, August.
    3. P. K. Kapur & Saurabh Panwar & Ompal Singh & Vivek Kumar, 2022. "Joint optimization of software time-to-market and testing duration using multi-attribute utility theory," Annals of Operations Research, Springer, vol. 312(1), pages 305-332, May.
    4. Triet Pham & Hoang Pham, 2019. "A generalized software reliability model with stochastic fault-detection rate," Annals of Operations Research, Springer, vol. 277(1), pages 83-93, June.
    5. Avinash K. Shrivastava & Vivek Kumar & P. K. Kapur & Ompal Singh, 2020. "Software release and testing stop time decision with change point," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 196-207, July.
    6. Avinash K. Shrivastava & Vivek Kumar & P. K. Kapur & Ompal Singh, 0. "Software release and testing stop time decision with change point," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-12.

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