• DocumentCode
    1580407
  • Title

    An Immune Genetic Algorithm for Software Test Data Generation

  • Author

    Bouchachia, Abdelhamid

  • Author_Institution
    Univ. of Klagenfurt, Klagenfurt
  • fYear
    2007
  • Firstpage
    84
  • Lastpage
    89
  • Abstract
    This paper aims at incorporating immune operators in genetic algorithms as an advanced method for solving the problem of test data generation. The new proposed hybrid algorithm is called immune genetic algorithm (IGA). A full description of this algorithm is presented before investigating its application in the context of software test data generation using some benchmark programs. Moreover, the algorithm is compared with other evolutionary algorithms.
  • Keywords
    genetic algorithms; program testing; evolutionary algorithms; immune genetic algorithm; software test data generation; test data generation; Ant colony optimization; Benchmark testing; Cost function; Genetic algorithms; Hybrid power systems; Immune system; Instruments; Software quality; Software testing; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2007. HIS 2007. 7th International Conference on
  • Conference_Location
    Kaiserlautern
  • Print_ISBN
    978-0-7695-2946-2
  • Type

    conf

  • DOI
    10.1109/HIS.2007.37
  • Filename
    4344032
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1580407