• DocumentCode
    3149314
  • Title

    The research of test-suite reduction technique

  • Author

    Donghua, Cui ; Wenjie, Yin

  • Author_Institution
    Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    4552
  • Lastpage
    4554
  • Abstract
    Ant colony algorithm is a bionic optimization algorithm, it can solve combinatorial problems effectively. For the problem of the test suite reduction, this algorithm could find the balance point between the speed and the accuracy of solution. Unlike other existing algorithms, this algorithm used test cost criteria, as well as the test coverage criteria. Finally, the paper presented the results, the results is given by the others classical algorithms compared with this algorithms. The results show that this algorithm can significantly reduce the size and the cost of the test-suite, and achieved higher effectiveness of test-suite minimization.
  • Keywords
    minimisation; optimisation; program testing; ant colony algorithm; bionic optimization algorithm; test cost criteria; test coverage criteria; test suite minimization; test suite reduction technique; Algorithm design and analysis; Computers; Heuristic algorithms; Minimization; Optimization; Software; Software algorithms; test coverage; test execution cost; test suite; test suite reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5768284
  • Filename
    5768284