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Testing coverage based NHPP software reliability growth modeling with testing effort and change-point

Author

Listed:
  • Anu Aggarwal

    (University of Delhi)

  • Sudeep Kumar

    (Amity University Uttar Pradesh)

  • Ritu Gupta

    (Manipal Academy of Higher Education)

Abstract

This paper investigates a software reliability growth model based on non-homogeneous Poisson process that includes coverage testing and change-points. The model integrate effort spent into a model to evaluate software reliability based on testing coverage. The amount of testing effort spent follows the Weibull distribution, while the amount of coverage is modeled by logistic, delayed S-shaped and exponential functions. Additionally, we look into the cost requirement-based software release time for exponential functions with a reliability constraint. We introduce the genetic algorithm, which is a powerful tool for dealing with search and optimization issues. For the purpose of testing the model's goodness of fit, two real failure datasets are used, and the model’s performance is analyzed based on goodness-of-fit metrics. By comparing the proposed model to perfect debugging models that have been described in the literature, it is demonstrated that the proposed model demonstrates notable advancements in this regard. The results of our analysis indicate that a software reliability estimation model should include change-points in a testing process if they exist.

Suggested Citation

  • Anu Aggarwal & Sudeep Kumar & Ritu Gupta, 2024. "Testing coverage based NHPP software reliability growth modeling with testing effort and 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. 15(11), pages 5157-5166, November.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:11:d:10.1007_s13198-024-02504-7
    DOI: 10.1007/s13198-024-02504-7
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    References listed on IDEAS

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    1. Okamura, Hiroyuki & Dohi, Tadashi & Osaki, Shunji, 2013. "Software reliability growth models with normal failure time distributions," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 135-141.
    2. Abhishek Tandon & Anu G. Aggarwal & Nidhi Nijhawan, 2016. "An NHPP SRGM with Change Point and Multiple Releases," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 8(4), pages 57-68, October.
    3. Anu G. Aggarwal & Sudeep Kumar & Ritu Gupta, 2023. "Multi-release software reliability assessment: testing coverage-based approach," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 24(4), pages 583-594.
    4. P.K. Kapur & Hoang Pham & Udayan Chanda & Vijay Kumar, 2013. "Optimal allocation of testing effort during testing and debugging phases: a control theoretic approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(9), pages 1639-1650.
    5. Pham, Hoang & Zhang, Xuemei, 2003. "NHPP software reliability and cost models with testing coverage," European Journal of Operational Research, Elsevier, vol. 145(2), pages 443-454, March.
    6. Vijay Kumar & P.K. Kapur & Naman Taneja & Ramita Sahni, 2017. "On allocation of resources during testing phase incorporating flexible software reliability growth model with testing effort under dynamic environment," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 30(4), pages 523-539.
    7. 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.
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