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Optimal stopping time in software testing based on failure size approach

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  • Babu Zachariah

Abstract

When to stop testing is an important aspect in software test management. This paper discusses a new approach to this problem. There are two major improvements in this approach in comparison to the earlier studies. It uses failure size proportional model to estimate the number of failures and the corresponding cost of repair. Instead of reliability it uses a new measure called attained failure size. Failure size is the probability of finding a failure causing input in the input domain. Attained failure size is the failure size at the termination of testing. The advantages of these improvements are also discussed. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Babu Zachariah, 2015. "Optimal stopping time in software testing based on failure size approach," Annals of Operations Research, Springer, vol. 235(1), pages 771-784, December.
    • Handle: RePEc:spr:annopr:v:235:y:2015:i:1:p:771-784:10.1007/s10479-015-1959-5
    DOI: 10.1007/s10479-015-1959-5
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    References listed on IDEAS

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    1. Yamada, Shigeru & Ohtera, Hiroshi, 1990. "Software reliability growth models for testing-effort control," European Journal of Operational Research, Elsevier, vol. 46(3), pages 343-349, June.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Belleh Fontem, 2022. "An optimal stopping policy for car rental businesses with purchasing customers," Annals of Operations Research, Springer, vol. 317(1), pages 47-76, October.

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