• DocumentCode
    2820976
  • Title

    Automatic Test Task Allocation in Agent-Based Distributed Automated Testing Framework

  • Author

    Gao Jing ; Lan Yuqing

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., Huhhot, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, agent-based distributed automated testing framework is proposed, and for the current lack of automatic test task allocation function in distributed automated testing framework, an approach of automatic test task allocation based on the test node ability is given. The complex test task is broken down into atomic test tasks, the test tasks in the test definition file is represented using "and-or tree" and ECA rules by the testers. Test master agent automatically obtain and calculate the execution ability of test nodes, the execution ability of test nodes is the computing power and system resources which the test nodes owned, then automatically allocate the test tasks in accordance with the "and-or tree" and the ECA rules described in the test definition file. The general architecture of agent-based distributed automated testing framework is given, and the automatic test task allocation method based on the ability of the test node is elaborated. The method has been applied to the distributed automated testing framework to enhance the test automation capabilities.
  • Keywords
    distributed programming; program testing; software agents; ECA rules; agent-based testing; and-or tree method; automatic test task allocation function; distributed automated testing framework; test master agent; test node ability; Agricultural engineering; Automatic testing; Automation; Computer architecture; Computer science; Distributed computing; Graphical user interfaces; Power system management; Resource management; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363572
  • Filename
    5363572