Plagiarism Detection in Software Projects Using Abstract Syntax Trees
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Plagiarism Detection in Software Projects Using Abstract Syntax Trees
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings II of the 29th Student EEICT 2023 Selected papers
ISBN
978-80-214-6154-3
ISSN
2788-1334
e-ISSN
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Number of pages
4
Pages from-to
45-48
Publisher name
Brno University of Technology, Faculty of Elektronic Engineering and Communication
Place of publication
Brno
Event location
Brno
Event date
Apr 25, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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