• DocumentCode
    2862500
  • Title

    Actionable knowledge model for GUI regression testing

  • Author

    Yin, Zunliang ; Miao, Chunyan ; Miao, Yuan ; Shen, Zhiqi

  • Author_Institution
    Nanyang Technol. Univ., Singapore
  • fYear
    2005
  • fDate
    19-22 Sept. 2005
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    GUI regression testing is challenging as GUIs are changed frequently during the whole SDLC. Currently, there are no effective techniques for doing GUI regression testing. In this paper, a novel actionable knowledge model (AKM) is proposed for representing GUI test cases. The proposed model is adaptive to the change of GUIs. A multi-agent based framework that infusing AKM for GUI application regression testing is developed to facilitate test case creation, execution and repair.
  • Keywords
    graphical user interfaces; multi-agent systems; program testing; regression analysis; GUI regression testing; actionable knowledge model; multi-agent based framework; Application software; Automatic testing; Graphical user interfaces; Intelligent agent; Logic; Robots; Software testing; GUI regression testing; Multi-agent.; Software testing; Test case repair;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
  • Print_ISBN
    0-7695-2416-8
  • Type

    conf

  • DOI
    10.1109/IAT.2005.25
  • Filename
    1565531
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2862500