• DocumentCode
    2298046
  • Title

    An approach to automatic generating test data for multi-path coverage by genetic algorithm

  • Author

    Sun, Jian Hua ; Jiang, Shu Juan

  • Author_Institution
    Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    1533
  • Lastpage
    1536
  • Abstract
    Software test is an important step during software development. Improving the automation of software testing can increase the robustness of software and decrease the cost of development. The key of improving the automation ability of testing is improving the automatic test data generation. The paper presents a new method to generate test data for multi-path coverage. The method uses a two-dimensional matrix to record the paths whether the test data passed, and improve the fitness function to suit the new method. In the end, it presents a case study to evaluate the efficient of proposes an efficiency of the method.
  • Keywords
    automatic test software; genetic algorithms; program testing; software cost estimation; automatic test data generation; fitness function; genetic algorithm; multipath coverage; software development cost; software testing; Algorithm design and analysis; Biological cells; Encoding; Input variables; Optimization; Software; Software testing; genetic algorithm; path coverage; software test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583778
  • Filename
    5583778