Record Details

Source code plagiarism detection for PHP language

European Journal of Business Science and Technology

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Field Value
 
Title Source code plagiarism detection for PHP language
 
Creator Všianský, Richard
Dlabolová, Dita
Foltýnek, Tomáš
 
Description 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.
 
Publisher Mendel University in Brno
 
Date 2017-12-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
application/vnd.openxmlformats-officedocument.wordprocessingml.document
application/zip
application/vnd.openxmlformats-officedocument.wordprocessingml.document
 
Identifier https://journal.ejobsat.cz/index.php/ejobsat/article/view/100
10.11118/ejobsat.v3i2.100
 
Source European Journal of Business Science and Technology; Vol 3 No 2 (2017); pp. 106–117
2694-7161
2336-6494
 
Language eng
 
Relation https://journal.ejobsat.cz/index.php/ejobsat/article/view/100/pdf_43
https://journal.ejobsat.cz/index.php/ejobsat/article/view/100/148
https://journal.ejobsat.cz/index.php/ejobsat/article/view/100/149
https://journal.ejobsat.cz/index.php/ejobsat/article/view/100/150
 
Rights Copyright (c) 2018 Richard Všianský, Dita Dlabolová, Tomáš Foltýnek
http://creativecommons.org/licenses/by-sa/4.0