A Mutation Operator-Based Scenario for Evaluating Software Clone Detection Tools and Techniques
Autor: | Hemraj Saini, Pratiksha Gautam |
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Rok vydání: | 2019 |
Předmět: |
Mutation operator
Software Programming language business.industry Computer science 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 020201 artificial intelligence & image processing 02 engineering and technology computer.software_genre business computer Information Systems |
Zdroj: | International Journal of Information Security and Privacy. 13:30-45 |
ISSN: | 1930-1669 1930-1650 |
DOI: | 10.4018/ijisp.2019010103 |
Popis: | 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. |
Databáze: | OpenAIRE |
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