Publication detail

Plagiarism Detection in Software Projects Using Abstract Syntax Trees

SZYMUTKO, M. ŠEDA, P.

Original Title

Plagiarism Detection in Software Projects Using Abstract Syntax Trees

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Abstract Syntax Trees, API, Bash, Detection, Git, GitLab, Java, Metrics, Plagiarism, Python

Authors

SZYMUTKO, M.; ŠEDA, P.

Released

25. 4. 2023

Publisher

Brno University of Technology, Faculty of Elektronic Engineering and Communication

Location

Brno

ISBN

978-80-214-6154-3

Book

Proceedings II of the 29th Student EEICT 2023 Selected papers

Edition number

1

ISBN

2788-1334

Periodical

Proceedings II of the Conference STUDENT EEICT

State

Czech Republic

Pages from

45

Pages to

48

Pages count

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"
}