• DocumentCode
    1994485
  • Title

    An agent-based testing approach for Web applications

  • Author

    Qi, Yu ; Kung, David ; Wong, Eric

  • Author_Institution
    Dept. of Comput. Sci., Texas Univ., Dallas, TX, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    26-28 July 2005
  • Firstpage
    45
  • 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 dataflow test approach can be employed to perform structure testing on them. In this approach, data flow analysis is 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.
  • Keywords
    Internet; data flow analysis; program testing; software agents; Internet; Web application level testing; Web document; abstract level; agent-based approach; control flow mechanisms; data flow mechanisms; function cluster level testing; function level testing; object level testing; open standard technologies; Application software; Computer science; HTML; Internet; Java; Performance evaluation; System testing; Uncertainty; Web pages; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2005. COMPSAC 2005. 29th Annual International
  • ISSN
    0730-3157
  • Print_ISBN
    0-7695-2413-3
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2005.42
  • Filename
    1508082