Mutation-Based Detection of Code Clones in Open-Source Software

Abstract

Numerous tools, templates, and frameworks exist in the literature to detect code clones from source code. However, every tool and method exhibits performance measures as per the application. In this paper, we presented a mutation-based analysis of our already proposed framework to detect function clones. Mutants were injected into JhotDraw open-source code to verify the accuracy of the proposed template. Clone detection has been performed by computing accuracy. Our experiments demonstrated confidence in the accuracy of our Mutation Injected framework. The schema provided will help in building repositories of function clones. In this research, function granularity has been chosen because functions are the most reusable part of any software.