RT Journal Article
SR Electronic
A1 Všianský, Richard
A1 Dlabolová, Dita
A1 Foltýnek, Tomáš
T1 Source Code Plagiarism Detection for PHP Language
JF European Journal of Business Science and Technology
YR 2017
VO 3
IS 2
SP 106
OP 117
DO 10.11118/ejobsat.v3i2.100
UL https://ejobsat.cz/artkey/ejo-201702-0007.php
AB 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.