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Software release and testing stop time decision with change point

Author

Listed:
  • Avinash K. Shrivastava

    (International Management Institute)

  • Vivek Kumar

    (University of Delhi)

  • P. K. Kapur

    (Amity Centre for Interdisciplinary Research, Amity University)

  • Ompal Singh

    (University of Delhi)

Abstract

Information technology has seen enormous growth in the last few decades. The backbone of this growth is the developments in the software industry who is working day and night to meet all the expectations. As we know a reliable software can ease our work but developing reliable software may take a longer time. At the same time, huge market competition has forced firms to deliver reliable products as quick as possible as per the user’s expectation. Due to this trade-off between reliability and market competition firms have started releasing software products with the assurance that they will repair their products if any failure is detected while operating. Keeping this phenomenon in mind various researchers proposed a framework based on a different set of assumptions. During the software development at some point of time the rate of detection/removal changes due to various reasons such as a change in testing efficiency, team composition, the addition of extra testing team, etc. This change in the fault removal has an impact on the release and testing stop time of software. In this paper, we propose a software cost model to determine optimal software release and testing stop time considering the change in detection/removal rate before the release of the software. The proposed model is validated on real-life data set.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:2:d:10.1007_s13198-020-00988-7
    DOI: 10.1007/s13198-020-00988-7
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    References listed on IDEAS

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    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. Gaurav Mishra & P. K. Kapur & A. K. Shrivastava, 2018. "A General Framework for Modeling of Multiple-Version Software with Change-Point," Springer Proceedings in Business and Economics, in: P.K. Kapur & Uday Kumar & Ajit Kumar Verma (ed.), Quality, IT and Business Operations, pages 17-32, Springer.
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    4. Chetna Choudhary & P. K. Kapur & Sunil K. Khatri & R. Muthukumar & Avinash K. Shrivastava, 2020. "Effort based release time of software for detection and correction processes using MAUT," 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 367-378, July.
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    Cited by:

    1. 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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