European Journal of Business Science and Technology 2017, 3(2):106-117 | DOI: 10.11118/ejobsat.v3i2.100

Source Code Plagiarism Detection for PHP Language

Richard Všianský1, Dita Dlabolová1, Tomáš Foltýnek1
1 Mendel University in Brno, Czech Republic

This paper introduces a system for detection of plagiarism in source codes written in the PHP computer language, part of the plagiarism detection tool Anton. We used the greedy string tiling algorithm together with tokenization and hash calculation. The efficiency of the system was tested on both an artificial dataset and on real data coming from a course taught at our university. Our results are compared with other similar systems and solutions, concluding that Anton can detect all examined types of plagiarism with higher accuracy than other systems.

Keywords: source-code plagiarism, anti-plagiarism system, PHP, Anton
JEL classification: C88, I23

Prepublished online: November 30, 2017; Published: December 31, 2017  Show citation

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Všianský, R., Dlabolová, D., & Foltýnek, T. (2017). Source Code Plagiarism Detection for PHP Language. European Journal of Business Science and Technology, 3(2), 106-117. doi: 10.11118/ejobsat.v3i2.100
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