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Effect of change point and imperfect debugging in software reliability and its optimal release policy

Author

Listed:
  • Subhashis Chatterjee
  • Shobhit Nigam
  • Jeetendra Bahadur Singh
  • Lakshmi Narayan Upadhyaya

Abstract

This article presents a software reliability growth model based on non-homogeneous Poisson process. The main focus of this article is to deliver a method for software reliability modelling incorporating the concept of time-dependent fault introduction and fault removal rate with change point. Also in this article, a cost model with change point has been developed. Based on the cost model optimal release policy with change point has been discussed. Maximum likelihood technique has been applied to estimate the parameters of the model. The proposed model has been validated using some real software failure data. Comparison has been made with models incorporating change point and without change point. The application of the proposed cost model has been shown using some numerical examples.

Suggested Citation

  • Subhashis Chatterjee & Shobhit Nigam & Jeetendra Bahadur Singh & Lakshmi Narayan Upadhyaya, 2012. "Effect of change point and imperfect debugging in software reliability and its optimal release policy," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 18(5), pages 539-551, March.
    • Handle: RePEc:taf:nmcmxx:v:18:y:2012:i:5:p:539-551
    DOI: 10.1080/13873954.2012.678011
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    References listed on IDEAS

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    1. Hoang Pham, 2006. "System Software Reliability," Springer Series in Reliability Engineering, Springer, number 978-1-84628-295-9, July.
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    Cited by:

    1. Subhashis Chatterjee & Ankur Shukla, 2016. "Change point–based software reliability model under imperfect debugging with revised concept of fault dependency," Journal of Risk and Reliability, , vol. 230(6), pages 579-597, December.
    2. Subhashis Chatterjee & Ankur Shukla, 2017. "An Ideal Software Release Policy for an Improved Software Reliability Growth Model Incorporating Imperfect Debugging with Fault Removal Efficiency and Change Point," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(03), pages 1-21, June.
    3. Subhashis Chatterjee & Deepjyoti Saha & Akhilesh Sharma & Yogesh Verma, 2022. "Reliability and optimal release time analysis for multi up-gradation software with imperfect debugging and varied testing coverage under the effect of random field environments," Annals of Operations Research, Springer, vol. 312(1), pages 65-85, May.
    4. Vikas Dhaka & Nidhi Nijhawan, 2024. "Effect of change in environment on reliability growth modeling integrating fault reduction factor and change point: a general approach," Annals of Operations Research, Springer, vol. 340(1), pages 181-215, September.
    5. Subhashis Chatterjee & Ankur Shukla & Hoang Pham, 2019. "Modeling and analysis of software fault detectability and removability with time variant fault exposure ratio, fault removal efficiency, and change point," Journal of Risk and Reliability, , vol. 233(2), pages 246-256, April.

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