Research of web log statistical testing based on user classification
Gao Jian-hua · Jisuanji gongcheng yu sheji · 2012
To solve the limitations of low efficiency and inflexible for traditional statistical testing,a method of Web log statistical testing based on user classification with the characteristic of Web applications is proposed.According to the difference complex of Web applications,the user groups are classified and the Web information is extracted from Web usage and failure logs.Using this information,models for Web log statistical testing is built and the reliability of Web application is estimated.An actual Web application is applied by this approach.The results demonstrate this approach can support higher testing coverage of main functions for Web application than the traditional statistical testing does,and the reliability assessment are more viable and realistic.