• DocumentCode
    3067323
  • Title

    An ant colony optimization approach to test sequence generation for state based software testing

  • Author

    Li, Huaizhong ; Lam, C. Peng

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Edith Cowan Univ., Churchlands, WA, Australia
  • fYear
    2005
  • fDate
    19-20 Sept. 2005
  • Firstpage
    255
  • Lastpage
    262
  • Abstract
    Properly generated test suites may not only locate the defects in software systems, but also help in reducing the high cost associated with software testing, ft is often desired that test sequences in a test suite can be automatically generated to achieve required test coverage. However, automatic test sequence generation remains a major problem in software testing. This paper proposes an ant colony optimization approach to automatic test sequence generation for state-based software testing. The proposed approach can directly use UML artifacts to automatically generate test sequences to achieve required test coverage.
  • Keywords
    Unified Modeling Language; automatic programming; optimisation; program testing; UML; ant colony optimization approach; automatic test sequence generation; software system; state based software testing; Ant colony optimization; Application software; Artificial intelligence; Automatic testing; Electrical capacitance tomography; Gold; Software systems; Software testing; System testing; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality Software, 2005. (QSIC 2005). Fifth International Conference on
  • ISSN
    1550-6002
  • Print_ISBN
    0-7695-2472-9
  • Type

    conf

  • DOI
    10.1109/QSIC.2005.12
  • Filename
    1579143