ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 9. Vol. 31. 2025

DOI: 10.17587/it.31.496-503

M. A. Bubnova, Leading Programmer,
National Research University Higher School of Economics, Moscow, Russian Federation

Automated System for Detecting Plagiarism in Files Containing Program Code

Received on 26.02.2025
Accepted on 06.03.2025

The article outlines the results of developing a system designed to identify plagiarism in files containing program code. The automated system integrates multiple methods of program code analysis. It serves as a decision-support tool for university instructors by enabling the detection of assignments with plagiarism levels exceeding a predefined threshold. The system is specifically designed to evaluate student submissions within the university, allowing for the comparison of works among students in the same cohort to identify groups with similar or copied content. The system supports the analysis of assignments stored both locally and in cloud storage.
Keywords: code plagiarism, text tokenization, abstract syntax tree (AST)

P. 496-503

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