IDEAS home Printed from https://ideas.repec.org/a/igg/jamc00/v3y2012i1p15-23.html
   My bibliography  Save this article

Generating Test Case for Object-Oriented Software Using Genetic Algorithm and Mutation Testing Method

Author

Listed:
  • Yamina Mohamed Ben Ali

    (University of Badji Mokhtar, Algeria)

  • Fatma Benmaiza

    (University of Badji Mokhtar, Algeria)

Abstract

This paper presents an automatic creation of software test cases based on the use of a genetic algorithm and a mutation testing technique. The aim of this work is then the optimization of a score function in order to give the best set of optimal test case needed for testing an oriented-object program. Therefore, the proposed search-based approach generates in a first time a set of mutants according to an input program for testing the output of methods belonging in the tested class. On the second time, the output of the mutants and the input program are compared to evaluate the performance of all chromosomes in the genetic population. Finally, at the end of the chromosomes evolution the best test case in retrieved as the optimal one.

Suggested Citation

  • Yamina Mohamed Ben Ali & Fatma Benmaiza, 2012. "Generating Test Case for Object-Oriented Software Using Genetic Algorithm and Mutation Testing Method," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 3(1), pages 15-23, January.
  • Handle: RePEc:igg:jamc00:v:3:y:2012:i:1:p:15-23
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jamc.2012010102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jamc00:v:3:y:2012:i:1:p:15-23. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.