• DocumentCode
    2879372
  • Title

    Automatic Test Data Generation Based on Ant Colony Optimization

  • Author

    Li, Kewen ; Zhang, Zilu ; Liu, Wenying

  • Author_Institution
    Coll. of Comput. & Commun. Eng., China Univ. of Pet., Dongying, China
  • Volume
    6
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    216
  • Lastpage
    220
  • Abstract
    Software testing is a crucial measure used to assure the quality of software. Path testing can detect bugs earlier because of it performs higher error coverage. This paper presents a model of generating test data based on an improved ant colony optimization and path coverage criteria. Experiments show that the algorithm has a better performance than other two algorithms and improve the efficiency of test data generation notably.
  • Keywords
    automatic test pattern generation; automatic test software; optimisation; program testing; software quality; ant colony optimization; automatic test data generation; path coverage criteria; path testing; software quality; software testing; Ant colony optimization; Automatic testing; Data engineering; Educational institutions; Genetic algorithms; Petroleum; Scheduling algorithm; Software measurement; Software quality; Software testing; Ant Colony Optimization; Automatic Test; Data Generation; Path coverage criteria;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.239
  • Filename
    5367156
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2879372