PROGRAMMING STYLE ON SOURCE CODE PLAGIARISM AND COLLUSION DETECTION
| Autor: | Oscar Karnalim, Gisela Kurniawati |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Source code
Computer Networks and Communications Computer science media_common.quotation_subject 02 engineering and technology computer.software_genre Programming style Similarity (psychology) 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Code (cryptography) media_common Dishonesty Academic dishonesty business.industry 05 social sciences 050301 education Hardware and Architecture Collusion 020201 artificial intelligence & image processing Pairwise comparison Artificial intelligence business 0503 education computer Software Natural language processing Information Systems |
| Zdroj: | International Journal of Computing. :27-38 |
| ISSN: | 2312-5381 1727-6209 |
| DOI: | 10.47839/ijc.19.1.1690 |
| Popis: | This paper utilises programming style on a source code plagiarism and collusion detection to both capture obvious attempts of such academic dishonesty (which characteristics are ignored on most detection techniques) and prioritise non-coincidental similarity to the coincidental one (as only the former can raise suspicion). The technique relies on pairwise programming style similarity to deal with the former and dishonesty probability (how significant is the programming style change between the author’s current submission and previous submissions) to deal with the latter. According to our evaluation, programming style similarity can increase precision since when a code is copied, the programming style can be unconsciously shared (especially for novice students). Dishonesty probability increases not only precision but also recall, f-score, and the resulted similarity degree of suspected pairs; the copied code commonly has different programming style in comparison with the student’s usual style (captured from previous submissions). Our detection technique is comparable to a common technique in academia except that it takes longer processing time as more hints are generated and considered. |
| Databáze: | OpenAIRE |
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