Applying Agent into Web Testing and Evolution

www.springerlink.com/index/652jl4th0un4bk7x.pdf 

In order to carry through Web testing intelligently and effectively, this paper applies Agent into the Web testing and evolution. Firstly, we give the general description of the Web application testing and evolution based on Agent, which focuses on the capture-replay technology combined with Agent; then, we apply Agent into the Web performance testing, regression testing and Web usability evolution so as to improve the automatic and intelligent detree of Web testing and obtain better testing effect.

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Intelligent Agent is a self-contained, autonomous software module int the distributed systems that could perform certain tasks on behalf of its users.

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The information obtaining process can be described as follows: 

(1) While the users browse the pages, the user Agent recorder "learns" the actions taken: which links were clicked, what was typed in a form, which scrollbar was dragged, and so on. Thus the Agent can distinctly record the total actions.

(2) After a period of time, the Analyzer in the Agent disposes the contents of the recorder, classifies users' actions according to the different page characters.

(3) After obtain the different visiting situations of different users in certain types of pages, save them in the repository in a certain sequence. This information can be used as important guidance to users' visiting scenes.

(4) Update this information due to the changes of the users' visiting. So, we can ensure the contents in the repository consist with the facts of user visiting.