An agent-based testing approach for web applications

  • Authors:
  • Yu Qi;David Kung;Eric Wong

  • Affiliations:
  • Department of Computer Science, University of Texas at Dallas, Richardson, TX;Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX;Department of Computer Science, University of Texas at Dallas, Richardson, TX

  • Venue:
  • COMPSAC-W'05 Proceedings of the 29th annual international conference on Computer software and applications conference
  • Year:
  • 2005

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Abstract

In recent years, Web applications have grown so quickly that they have already become crucial to the success of businesses. However, since they are built on Internet and open standard technologies, Web applications bring new challenges to researchers, such as dynamic behaviors, heterogeneous representations, novel control flow and data flow mechanisms, etc. In this paper, we propose an agent-based approach for Web application testing. While the agent-based framework greatly reduces the complexity of Web applications, a four-level data flow test approach can be employed to perform structure testing on them. In this approach, data flow analysis will be performed as Function Level Testing, Function Cluster Level Testing, Object Level Testing, and Web Application Level Testing, from low abstract level to high abstract level. Each test agent in the framework takes charge of the testing in an abstract level for a particular type of Web document or object.