Source code plagiarism detection for PHP language
| Autor: | Richard Všianský, Dita Dlabolová, Tomáš Foltýnek |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | European Journal of Business Science and Technology, Vol 3, Iss 2, Pp 106-117 (2017) |
| Druh dokumentu: | article |
| ISSN: | 2336-6494 2694-7161 |
| DOI: | 10.11118/ejobsat.v3i2.100 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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