Optimal stopping in software testing

  1. Nilgun Morali1,
  2. Refik Soyer2,*

Article first published online: 27 DEC 2002

DOI: 10.1002/nav.10048

Issue

Naval Research Logistics (NRL)

Naval Research Logistics (NRL)

Volume 50, Issue 1, pages 88–104, February 2003

Additional Information

How to Cite

Morali, N. and Soyer, R. (2003), Optimal stopping in software testing. Naval Research Logistics, 50: 88–104. doi: 10.1002/nav.10048

Author Information

  1. 1

    Department of Statistics, Dokuz Eylal Universitesi, Turkey

  2. 2

    Department of Management Science, The George Washington University, 2115 G Street, NW, Washington, DC 20052

*Department of Management Science, The George Washington University, 2115 G Street, NW, Washington, DC 20052

Publication History

  1. Issue published online: 13 JAN 2003
  2. Article first published online: 27 DEC 2002
  3. Manuscript Accepted: 28 JUN 2002
  4. Manuscript Revised: 18 JUN 2002
  5. Manuscript Received: 30 NOV 1998

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Keywords:

  • Bayesian inference;
  • stochastic ordering;
  • dynamic programming;
  • Kalman filter;
  • preposterior analysis;
  • software reliability

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

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