Multi-Language and Cross-Language Software Plagiarism Detection
| Vortragende(r) | Alexander Milster | |
|---|---|---|
| Vortragstyp | Bachelorarbeit | |
| Betreuer(in) | Robin Maisch | |
| Termin | Fr 28. März 2025, 14:00 (Raum 348 (Gebäude 50.34)) | |
| Vortragssprache | Deutsch | |
| Vortragsmodus | in Präsenz | |
| Kurzfassung | Currently, commonly used plagiarism detection tools can only handle code from one language for a single run.
This thesis deals with two different sub-problems. Firstly, parsing and comparing the code of each occurring language in a single submission set separately (multi-language plagiarism detection) and, secondly, comparing submissions as a whole, despite containing code from multiple languages (cross-language plagiarism detection). In this thesis, we propose supporting multi-language plagiarism detection by concatenating the token lists. For cross-language plagiarism detection, we propose a set of language-agnostic tokens and rules for the order they should be extracted in, which have to be implemented for each supported language. In addition, a dynamic approach that allows more flexible matching of tokens is considered. | |