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Optimal allocation of testing effort during testing and debugging phases: a control theoretic approach

Author

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  • P.K. Kapur
  • Hoang Pham
  • Udayan Chanda
  • Vijay Kumar

Abstract

Allocation of efforts to a software development project during the testing phase is a multifaceted task for software managers. The challenges become stiffer when the nature of the development process is considered in the dynamic environment. Many software reliability growth models have been proposed in last decade to minimise the total testing-effort expenditures, but mostly under static assumption. The main purpose of this article is to investigate an optimal resource allocation plan to minimise the cost of software during the testing and operational phase under dynamic condition. An elaborate optimisation policy based on the optimal control theory is proposed and numerical examples are illustrated. This article also studies the optimal resource allocation problems for various conditions by examining the behaviour of the model parameters and also suggests policy for the optimal release time of the software. The experimental results greatly help us to identify the contribution of each selected parameter and its weight.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:9:p:1639-1650
    DOI: 10.1080/00207721.2012.669861
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    Citations

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    Cited by:

    1. Chih-Chiang Fang & Chun-Wu Yeh, 2016. "Effective confidence interval estimation of fault-detection process of software reliability growth models," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(12), pages 2878-2892, September.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Cao, Ping & Yang, Ke & Liu, Ke, 2020. "Optimal selection and release problem in software testing process: A continuous time stochastic control approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 211-222.

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