IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v30y2017i4p523-539.html
   My bibliography  Save this article

On allocation of resources during testing phase incorporating flexible software reliability growth model with testing effort under dynamic environment

Author

Listed:
  • Vijay Kumar
  • P.K. Kapur
  • Naman Taneja
  • Ramita Sahni

Abstract

We develop an optimal control model for optimally allocating effort between detection and correction processes, during testing phase of a software development life cycle (SDLC). The objective is to propose a resource allocation plan to minimise the total testing cost with the reliability criteria using flexible software reliability growth model considering testing effort under dynamic environment. Furthermore, we have incorporated the learning curve effect in correction cost function due to its importance in cost estimation, and resource allocation decisions. A technique based on optimal control theory is proposed for the software managers to optimise the allocation of the limited resources, while genetic algorithm is used to find the approximate value of detection and correction effort. An illustrative example is presented. The optimal release policy under reliability criteria is also discussed.

Suggested Citation

  • Vijay Kumar & P.K. Kapur & Naman Taneja & Ramita Sahni, 2017. "On allocation of resources during testing phase incorporating flexible software reliability growth model with testing effort under dynamic environment," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 30(4), pages 523-539.
    • Handle: RePEc:ids:ijores:v:30:y:2017:i:4:p:523-539
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=87829
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abhishek Srivastava & Deepti Mehrotra & P. K. Kapur & Anu G. Aggarwal, 2020. "Analytical evaluation of agile success factors influencing quality in software industry," 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 247-257, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijores:v:30:y:2017:i:4:p:523-539. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=170 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.