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Multi-release testing coverage-based SRGM considering error generation and change-point incorporating the random effect

Author

Listed:
  • Ritu Bibyan

    (University of Delhi)

  • Sameer Anand

    (University of Delhi)

  • Anu G. Aggarwal

    (University of Delhi)

  • Abhishek Tandon

    (University of Delhi)

Abstract

The most essential step during the development of the software is the testing procedure which makes the software dependable and efficient. During this procedure, the observation and rectification of the faults play a significant role in increasing the reliability of the software. Various Software Reliability growth models (SRGMs) with multiple assumptions were presented by various researchers to study the software’s reliability. It is well known that the fault observation/removal rate may get affected by irregular factors causing arbitrary effects. In this study, we aim to capture this irregular variation in fault observation/removal rate by expressing it in terms of testing coverage. The fault observation/removal process has been assumed as a stochastic process and modeled it using an Itô type of stochastic differential equation. Testing coverage enables software designers to check the software’s excellence and to see if any extra efforts are required to enhance reliability. In this paper, we have developed an SRGM based on testing coverage by introducing the concept of chang-epoint, error generation, and fault detection rate with irregular fluctuations. The error generation implies that during the testing procedure faults are not disclosed entirely and more faults get introduced. Later on, we focused on the idea of multi-release by considering four releases. We have estimated the parameters of the model by using the fault dataset for consecutive releases of Tandem Computers and validated the performance by evaluating the various goodness-of-fit criteria.

Suggested Citation

  • Ritu Bibyan & Sameer Anand & Anu G. Aggarwal & Abhishek Tandon, 2023. "Multi-release testing coverage-based SRGM considering error generation and change-point incorporating the random effect," 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. 14(5), pages 1877-1887, October.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:5:d:10.1007_s13198-023-02018-8
    DOI: 10.1007/s13198-023-02018-8
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    References listed on IDEAS

    as
    1. Anu G. Aggarwal & P.K. Kapur & Nidhi Nijhawan, 2018. "A discrete SRGM for multi-release software system with faults of different severity," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 32(2), pages 156-168.
    2. 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.
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    5. Vibha Verma & Sameer Anand & P. K. Kapur & Anu G. Aggarwal, 2022. "Unified framework to assess software reliability and determine optimal release time in presence of fault reduction factor, error generation and fault removal efficiency," 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. 13(5), pages 2429-2441, October.
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    7. Yoshinobu Tamura & Shigeru Yamada, 2009. "Flexible Stochastic Differential Equation Modeling For Open-Source-Software Reliability Assessment," World Scientific Book Chapters, in: Tadashi Dohi & Shunji Osaki & Katsushige Sawaki (ed.), Recent Advances In Stochastic Operations Research II, chapter 20, pages 285-300, World Scientific Publishing Co. Pte. Ltd..
    8. Gaurav Mishra & P. K. Kapur & Anu G. Aggarwal, 2023. "A generalized multi-upgradation SRGM considering uncertainty of random field operating environments," 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. 14(1), pages 328-336, March.
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