Plagiarism Detection in Software Projects Using Abstract Syntax Trees

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148271" target="_blank" >RIV/00216305:26220/23:PU148271 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13164/eeict.2023.45" target="_blank" >10.13164/eeict.2023.45</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Plagiarism Detection in Software Projects Using Abstract Syntax Trees

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Plagiarism Detection in Software Projects Using Abstract Syntax Trees

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings II of the 29th Student EEICT 2023 Selected papers

ISBN

978-80-214-6154-3

ISSN

2788-1334

e-ISSN

—

Počet stran výsledku

4

Strana od-do

45-48

Název nakladatele

Brno University of Technology, Faculty of Elektronic Engineering and Communication

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

25. 4. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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