A Mutation Operator-Based Scenario for Evaluating Software Clone Detection Tools and Techniques

A Mutation Operator-Based Scenario for Evaluating Software Clone Detection Tools and Techniques

Pratiksha Gautam (Jaypee University of Information Technology, Waknaghat, India) and Hemraj Saini (Jayppe University of Information Technology, Waknaghat, India)
Copyright: © 2019 |Pages: 16
DOI: 10.4018/IJISP.2019010103

Abstract

Over the past few years, several software clone detection tools and techniques have been introduced by numerous researchers. The software clone detection techniques and tools are based on their numerous attributes and sub-attributes which make them difficult to complete a comparative study. Therefore, the authors propose a mutation operator-based editing taxonomy for generating different software clone types. In addition, a hypothetical scenario is developed using mutation operator-based editing taxonomy and this hypothetical scenario is used to evaluate various software clone detection techniques and tools. Further, the existing evaluation criterion is extended by the hypothetical scenario which is clearly represented by the analysis of results.
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