• DocumentCode
    2051180
  • Title

    Automatic Test Data Generation for Multiple Condition and MCDC Coverage

  • Author

    Ghani, Kamran ; Clark, John A.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of York, York, UK
  • fYear
    2009
  • fDate
    20-25 Sept. 2009
  • Firstpage
    152
  • Lastpage
    157
  • Abstract
    Recently search based software engineering (SBSE) has evolved as a major research field in the software engineering community. SBSE has been applied successfully to many software engineering activities ranging from requirement engineering to software maintenance and quality assessment. One area where SBSE has seen much application is test data generation. Search based test data generation techniques have been applied to automatically generate data for testing functional and non-functional properties of softwares. For structural testing, most of the time, the criterion used, is branch coverage. However, this is not enough. For the wider acceptance of search based test data generation techniques, much stronger criteria are needed. In this paper we have proposed an automatic framework that extend search based testing techniques to more stronger criteria such as multiple condition and MCDC coverage.
  • Keywords
    automatic testing; program testing; software engineering; MCDC coverage; automatic test data generation; search based software engineering; search based test data generation; search based testing; software engineering community; software functional property; software nonfunctional property; structural testing; Automatic testing; Collaborative software; Costs; Databases; Programming; Project management; Scheduling; Sorting; Taxonomy; Uncertainty; MCDC coverage; Search Based Test Data Generation; Software testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Advances, 2009. ICSEA '09. Fourth International Conference on
  • Conference_Location
    Porto
  • Print_ISBN
    978-1-4244-4779-4
  • Electronic_ISBN
    978-0-7695-3777-1
  • Type

    conf

  • DOI
    10.1109/ICSEA.2009.31
  • Filename
    5298463