Understanding cloned patterns in Web applications

Abstract

We propose a tool to identify and analyze cloned patterns in Web applications using clone analysis and clustering of static and dynamic Web pages. The tool first detects cloned pages, which are then grouped into clusters as well as the groups of links between clusters. In this way the navigational schema is simplified and the duplicated functionalities corresponding to cloned navigational patterns can be more easily analyzed. The tool also allows filtering out uninteresting parts of the restructured navigational schema, thus to further improve the understanding.