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Software reliability and cost models with warranty and life cycle

Author

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  • Avinash K Shrivastava
  • Ruchi Sharma
  • Hoang Pham

Abstract

With increasing number of tech-savvy users, the demand for software with advanced features is also growing exponentially. To meet these expectations, software firms are coming up with innovative strategies to attract customers to buy their products and remain loyal. One of the key strategies is to provide product assurance is post-sales support. Software firms provide a warranty to fix the failures encountered during the operational phase for a pre-defined time period. Software reliability literature consists of various modeling framework to decide release time under pre-defined warranty period under the consideration of no post-release testing. Very limited work has been done in the direction of post-release testing with warranty. In this work, we propose a framework to obtain optimal release and warranty time of software to minimize the overall cost under reliability constraint. We have provided the algorithm to obtain the analytical solution of release and warranty time. To make our proposed work more realistic we have considered the change point phenomenon and imperfect debugging of fault in our modeling framework. We have also conducted a sensitivity analysis on the model parameters to check their impact of the firms scheduling strategy. The proposed work is validated on a real-life data set.

Suggested Citation

  • Avinash K Shrivastava & Ruchi Sharma & Hoang Pham, 2023. "Software reliability and cost models with warranty and life cycle," Journal of Risk and Reliability, , vol. 237(1), pages 166-179, February.
    • Handle: RePEc:sae:risrel:v:237:y:2023:i:1:p:166-179
    DOI: 10.1177/1748006X221076273
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    References listed on IDEAS

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    1. Anshul Tickoo & P. K. Kapur & A. K. Shrivastava & Sunil K. Khatri, 2016. "Testing effort based modeling to determine optimal release and patching time of software," 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. 7(4), pages 427-434, December.
    2. Etgar, Ran & Gelbard, Roy & Cohen, Yuval, 2017. "Optimizing version release dates of research and development long-term processes," European Journal of Operational Research, Elsevier, vol. 259(2), pages 642-653.
    3. 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.
    4. P.K. Kapur & Ompal Singh & A.K. Shrivastava, 2018. "A unified approach for optimal release, patching and testing time of a software," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 13(4), pages 471-491.
    5. P.K. Kapur & Hoang Pham & A. Gupta & P.C. Jha, 2011. "Software Reliability Assessment with OR Applications," Springer Series in Reliability Engineering, Springer, number 978-0-85729-204-9, December.
    6. Mengmeng Zhu & Hoang Pham, 2018. "A multi-release software reliability modeling for open source software incorporating dependent fault detection process," Annals of Operations Research, Springer, vol. 269(1), pages 773-790, October.
    7. Chetna Choudhary & P. K. Kapur & A. K. Shrivastava & Sunil K. Khatri, 2018. "Software Release and Patching Time with Warranty Using Change Point," Springer Proceedings in Business and Economics, in: P.K. Kapur & Uday Kumar & Ajit Kumar Verma (ed.), Quality, IT and Business Operations, pages 369-382, Springer.
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    Cited by:

    1. Javaid Iqbal & Nyla Manzoor & Avinash K. Shrivastava & Ishfaq A. Malik, 2023. "Integrating Burr type testing effort functions in logistic reliability growth model with uncertainty factor," 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(6), pages 2365-2375, December.

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