Software Testing, Verification and Reliability

Cover image for Vol. 22 Issue 3

May 2012

Volume 22, Issue 3

Pages 145–217

  1. Editorials

    1. Top of page
    2. Editorials
    3. Research Articles
  2. Research Articles

    1. Top of page
    2. Editorials
    3. Research Articles
    1. A testing strategy for abstract classes (pages 147–169)

      Peter J. Clarke, James F. Power, Djuradj Babich and Tariq M. King

      Article first published online: 11 MAR 2010 | DOI: 10.1002/stvr.429

      Thumbnail image of graphical abstract

      This paper presents a structured approach that supports the testing of features in abstract classes, paying particular attention to ensuring that the features tested are those defined in the abstract class. Two empirical studies are performed on a suite of large Java programs and the results presented. The first study analyses the role of abstract classes from a testing perspective and the second study investigates the impact of the testing strategy on the programs in this suite. Copyright © 2010 John Wiley & Sons, Ltd.

    2. Test data regeneration: generating new test data from existing test data (pages 171–201)

      S. Yoo and M. Harman

      Article first published online: 24 AUG 2010 | DOI: 10.1002/stvr.435

      Thumbnail image of graphical abstract

      Existing automated test data generation techniques tend to start from scratch, implicitly assuming that no pre-existing test data are available. This paper introduces search-based test data regeneration, a technique that can generate additional test data from existing test data using a meta-heuristic search algorithm. Copyright © 2010 John Wiley & Sons, Ltd.

    3. Fuzzy Bayesian system reliability assessment based on prior two-parameter exponential distribution under different loss functions (pages 203–217)

      Ramin Gholizadeh, Aliakbar Mastani Shirazi and Bahram Sadeghpour Gildeh

      Article first published online: 10 JUN 2010 | DOI: 10.1002/stvr.436

      The fuzzy Bayesian system reliability assessment based on prior two-parameter exponential distribution under squared error symmetric loss function and precautionary asymmetric loss function is proposed in this paper. In order to apply the Bayesian approach, the fuzzy parameters are assumed as fuzzy random variables with fuzzy prior distributions. Because the goal of the paper is to obtain fuzzy Bayes point estimators of system reliability assessment, prior distributions of location-scale family have been changed to scale family with change variable. On the other hand, the computational procedures to evaluate the membership degree of any given Bayes point estimate of system reliability have also been provided. In order to achieve this purpose, we transform the original problem into a non-linear programming problem. This non-linear programming problem is then divided into four sub-problems for the purpose of simplifying computation. Finally, the sub-problems can be solved by using any commercial optimizers, e.g. GAMS or LINGO. Copyright © 2010 John Wiley & Sons, Ltd.

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