Paper Title
Clustering Class Diagram Through Mining

Abstract— A class diagram models the static view of a system. The class diagrams are widely used during construction of executable code for software application as it is the only UML diagram which can be directly mapped with object oriented language. As class diagram contains duplicacy, the redundant source code generated increases the complexity of the program code. A solution is required to remove the redundancy from the class diagram, so that it model into efficient program code. To detect the similarity from the class diagram, it is converted into XML document. The clustering method is applied on the XML document. The clustering method applies on XML document group together the similar data. This method works on syntax and semantic of elements in the documents. The semantic clustering considers the position of elements. The similar elements are removed and a new redundant free class diagram is obtained. Now this class diagram models the object oriented language to get efficient program code.