Detection of File Level Clone for High Level Cloning

Abstract This paper presents description about structural clones and presents a hybrid approach for the detection of File level clone. Structural clones are similar program structures that are formed by lower level smaller clones with similar code fragments. Recurrent occurrence of simple clones in a file may lead to higher file level clones. The proposed approach detects high level clones in terms of file clones in different or same directories. The proposed approach uses the combination of text based and metric based analysis of a source code. This is done with the help of High Level Clone (HLC) detection tool designed in DOT NET. This approach is implemented as a common tool for input of various programming language and the existence of clone can be detected across the source code of different languages.

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