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SZYMUTKO, M. ŠEDA, P.
Originální název
Plagiarism Detection in Software Projects Using Abstract Syntax Trees
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Plagiarism is a hot topic in modern education and science. It requires special attention since committing plagiarism is very easy with the use of the internet. This problem can be fought against utilizing prevention or detection methods, which have been both used in this work. This paper introduces an implementation of a submission scheme of students’ projects in classes taught at the Brno University of Technology. Scripts for an automatic hand-in space for each student were created. Students have restricted privileges within these spaces on the GitLab cloud service. For plagiarism detection, a tool written in Python was developed. This tool utilizes Abstract Syntax Trees compiled from the source code, which is a part of the Students’ solutions. The output of the comparison is represented with a tabular file of the format .xlsx, which allows a detailed view. Ongoing implementation is focused on widening the tool’s usability by adding a Python similarity comparison engine.
Klíčová slova
Abstract Syntax Trees, API, Bash, Detection, Git, GitLab, Java, Metrics, Plagiarism, Python
Autoři
SZYMUTKO, M.; ŠEDA, P.
Vydáno
25. 4. 2023
Nakladatel
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Místo
Brno
ISBN
978-80-214-6154-3
Kniha
Proceedings II of the 29th Student EEICT 2023 Selected papers
Číslo edice
1
ISSN
2788-1334
Periodikum
Proceedings II of the Conference STUDENT EEICT
Stát
Česká republika
Strany od
45
Strany do
48
Strany počet
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf
BibTex
@inproceedings{BUT183732, author="Marek {Szymutko} and Pavel {Šeda}", title="Plagiarism Detection in Software Projects Using Abstract Syntax Trees", booktitle="Proceedings II of the 29th Student EEICT 2023 Selected papers", year="2023", journal="Proceedings II of the Conference STUDENT EEICT", number="1", pages="45--48", publisher="Brno University of Technology, Faculty of Elektronic Engineering and Communication", address="Brno", doi="10.13164/eeict.2023.45", isbn="978-80-214-6154-3", issn="2788-1334", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf" }