• DocumentCode
    2448732
  • Title

    An Input Adjustable Tree Algorithm for Evolutionary Testing

  • Author

    Jiang, Hsin-yi ; Oyama, Katsunori ; Chang, Carl K.

  • Author_Institution
    Dept. of Comput. Sci., Iowa State Univ., Ames, IA
  • fYear
    2008
  • fDate
    July 28 2008-Aug. 1 2008
  • Firstpage
    124
  • Lastpage
    127
  • Abstract
    This paper proposes an Input Adjustable Tree Algorithm for the flag problems of evolutionary testing (ET). With the algorithm, the dependencies of input and internal/flag variables can be determined. Based on that, ET guides the search efficiently with the presence of flag variables in the source code.
  • Keywords
    evolutionary computation; evolutionary testing; flag variables; input adjustable tree algorithm; source code; Application software; Automatic testing; Computer applications; Computer science; Evolutionary computation; Genetic algorithms; Input variables; Software algorithms; Software testing; Evolutionary Testing; Genetic Algorithm; Structure Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications, 2008. COMPSAC '08. 32nd Annual IEEE International
  • Conference_Location
    Turku
  • ISSN
    0730-3157
  • Print_ISBN
    978-0-7695-3262-2
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2008.187
  • Filename
    4591545
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2448732