A modified Markov model for web usage mining

As the complexity of Web applications are increasing, the testing of large applications are becoming more complex and difficult. Web applications contain lots of pages and are used byvarious users. An effective way of measuring their quality is statistical testing. Web usage can be well described by Markovchain, which has been shown to be a good model for software testing. The results of testing can be used in the latter stages,which is an important strategy for bottom-to top integrationtesting. The other extension of the modified Markov chain model is to present the error type vector which is considered as a part ofpage node. Furthermore, an algorithm for generating test cases of usage paths is proposed in this paper. Finally, optional usagereliability evaluation approach and an incremental usability regression model for testing and evaluation are presented

کلیدواژه ها:

Statistical testing ، web usage mining ، modified Markov model ، reliability evaluation