• DocumentCode
    2617027
  • Title

    Automatic Test Data Generation for Path Testing Using Genetic Algorithms

  • Author

    Xibo, Wang ; Na, Su

  • Author_Institution
    Shenyang Univ. of Technol., Shenyang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    596
  • Lastpage
    599
  • Abstract
    Software testing is the important means that guarantee software quality and reliability. Improving the automation ability of software testing is very important for ensuring software´s quality and reducing development cost, and improving the automation ability of test cases generation is the key point for the entire process. This paper discusses the methods and techniques of genetic algorithm as the key algorithm to automatically generating the test data, and elaborates some specific problems need to solve in realization process: such as coding, the selection of fitness function and the improvement of hereditary operator, etc.
  • Keywords
    automatic test pattern generation; genetic algorithms; program testing; automatic test data generation; genetic algorithms; path testing; software testing; Algorithm design and analysis; Data models; Instruments; Optimization; Software algorithms; Software testing; Automatic Test Data; Branch-Cover; Genetic Algorithm; Path Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.152
  • Filename
    5720855