Hierarchy testing for Web applications performance using Web log statistics

To simulate user´s behaviors more realistically, this paper proposes a novel hierarchy testing framework and method for Web applications performance. It extracts the access information from Web log files and builds a hierarchical structure model (HSM) by statistical analysis, obtains the test path with higher probability based on HSM model, and tests Web applications performance by using this path as a test case. The experiments show that the presented method can reveal more effectively the characteristics of Web applications performance than the traditional Web applications performance testing approach.