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Optimal stopping in software testing

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  • Nilgun Morali
  • Refik Soyer

Abstract

In this paper we address the problem of how to decide when to terminate the testing/modification process and to release the software during the development phase. We present a Bayesian decision theoretic approach by formulating the optimal release problem as a sequential decision problem. By using a non‐Gaussian Kalman filter type model, proposed by Chen and Singpurwalla (1994), to track software reliability, we are able to obtain tractable expressions for inference and determine a one‐stage look ahead stopping rule under reasonable conditions and a class of loss functions. © 2002 Wiley Periodicals, Inc. Naval Research Logistics, 2003

Suggested Citation

  • Nilgun Morali & Refik Soyer, 2003. "Optimal stopping in software testing," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(1), pages 88-104, February.
    • Handle: RePEc:wly:navres:v:50:y:2003:i:1:p:88-104
    DOI: 10.1002/nav.10048
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    Cited by:

    1. Insua, David Rios & Ruggeri, Fabrizio & Soyer, Refik & Wilson, Simon, 2020. "Advances in Bayesian decision making in reliability," European Journal of Operational Research, Elsevier, vol. 282(1), pages 1-18.
    2. Xiaoyue Jiang & Donglei Du & Thomas G. Ray, 2007. "On optimality of one‐bug‐look‐ahead policies for a software testing model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(3), pages 346-355, April.
    3. Nader Ebrahimi & S.N.U.A. Kirmani & Ehsan S. Soofi, 2011. "Predictability of operational processes over finite horizon," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(6), pages 531-545, September.
    4. 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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