Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (01): 174-177.

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Study on generation strategies of GUI automation testing cases

LU Yong-zhong1, WANG Chun1, NIE Song-lin2   

  1. 1. School of Software Engineering, Huazhong Univ. of Science & Technology, Wuhan 430074, China;
    2. School of Mechanical Science and Engineering, Huazhong Univ. of Science & Technology, Wuhan 430074, China
  • Received:2007-10-20 Revised:2008-05-17 Online:2009-01-25 Published:2010-01-03

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Abstract: Aiming at the present problems in the course of GUI automation test such as large dependence on manual work,lack of testing accuracy and so forth,an improved automated GUI testing algorithm is proposed.It includes two strategies based on its event-flow graph: a daily smoke testing strategy based on the ant colony optimization algorithm(ACO) and a deep regression testing strategy based on the spanning tree algorithm.Two strategies are applied to the non-hierarchical GUI event-flow graph,and the standard testing cases are obtained.Then GUI test is done.With the help of Microsoft UI Automation and Visual Studio 2005,a testing study on the proposed algorithm is done.The studying results show that it can improve the automation and accuracy of GUI test.

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