Abstract
Easy availability of information and code on Internet has increased, leading to an exponential rise in plagiarism. Plagiarism can be broadly classified into two subsections, i.e., Text/Image and Source code. With freely available plagiarism detection techniques, people are becoming aware of how to abuse the system by using some tips and tricks. This paper focuses on techniques of detection, plagiarism tools and a brief discussion on similarity measures currently available. The paper discusses some of the traditional techniques established to detect plagiarism on source code such as Measure of Software Similarity (MOSS) by MIT, JPLAG popular plagiarism detection tools on Java source code, and some of the unique and better ways to detect plagiarism using Parse Trees, Program Dependency Graph, and Machine learning along with the advantages and disadvantages of each technique. It also includes a brief comparison of similarity measures used by various techniques and evaluation techniques.
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Pandit, A.A., Toksha, G. (2020). Review of Plagiarism Detection Technique in Source Code. In: Singh Tomar, G., Chaudhari, N.S., Barbosa, J.L.V., Aghwariya, M.K. (eds) International Conference on Intelligent Computing and Smart Communication 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0633-8_38
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DOI: https://doi.org/10.1007/978-981-15-0633-8_38
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