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Source Code Plagiarism Detection for PHP Language
| Content Provider | Semantic Scholar |
|---|---|
| Author | Všianský, Richard Dlabolová, Dita Foltýnek, Tomás |
| Copyright Year | 2017 |
| 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. |
| Starting Page | 106 |
| Ending Page | 117 |
| Page Count | 12 |
| File Format | PDF HTM / HTML |
| DOI | 10.11118/ejobsat.v3i2.100 |
| Alternate Webpage(s) | https://journal.ejobsat.cz/index.php/ejobsat/article/download/100/pdf_43 |
| Alternate Webpage(s) | https://doi.org/10.11118/ejobsat.v3i2.100 |
| Volume Number | 3 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |