Source Code Plagiarism Detection for PHP Language

Richard Všianský, Dita Henek Dlabolová and Tomáš Foltýnek
Additional contact information
Richard Všianský: Mendel University in Brno, Czech Republic
Tomáš Foltýnek: Mendel University in Brno, Czech Republic

European Journal of Business Science and Technology, 2017, vol. 3, issue 2, 106-117

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: C88 I23 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://ejobsat.cz/doi/10.11118/ejobsat.v3i2.100.html (text/html)
http://ejobsat.cz/doi/10.11118/ejobsat.v3i2.100.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:men:journl:v:3:y:2017:i:2:p:106-117

DOI: 10.11118/ejobsat.v3i2.100

Access Statistics for this article

European Journal of Business Science and Technology is currently edited by Svatopluk Kapounek

More articles in European Journal of Business Science and Technology from Mendel University in Brno, Faculty of Business and Economics Contact information at EDIRC.
Bibliographic data for series maintained by Ivo Andrle ().