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Source Code Plagiarism Detection for PHP Language

Author

Listed:
  • Richard Všianský

    (Mendel University in Brno, Czech Republic)

  • Dita Dlabolová

    (Mendel University in Brno, Czech Republic)

  • Tomáš Foltýnek

    (Mendel University in Brno, Czech Republic)

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.

Suggested Citation

  • Richard Všianský & Dita Dlabolová & Tomáš Foltýnek, 2017. "Source Code Plagiarism Detection for PHP Language," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 3(2), pages 106-117.
    • Handle: RePEc:men:journl:v:3:y:2017:i:2:p:106-117
    DOI: 10.11118/ejobsat.v3i2.100
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    More about this item

    Keywords

    source-code plagiarism; anti-plagiarism system; PHP; Anton;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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