Source code plagiarism detection for PHP language

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F17%3A43912776" target="_blank" >RIV/62156489:43110/17:43912776 - isvavai.cz</a>

Result on the web

<a href="https://www.ejobsat.cz/journal/index.php/ejobsat/article/view/100" target="_blank" >https://www.ejobsat.cz/journal/index.php/ejobsat/article/view/100</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Source code plagiarism detection for PHP language

Original language 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.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

European Journal of Business Science and Technology

ISSN

2336-6494

e-ISSN

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Volume of the periodical

3

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

12

Pages from-to

106-117

UT code for WoS article

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EID of the result in the Scopus database

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