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Academic Journal of Computing & Information Science, 2024, 7(1); doi: 10.25236/AJCIS.2024.070110.

Identification and Prevention of Code Open Source Quotation and Plagiarism — Innovative Solutions to Enhance Code Plagiarism Detection Tools


Wenya Yang

Corresponding Author:
Wenya Yang

Beijing University of Technology, Beijing, 100124, China


This research focuses on the identification and obfuscation prevention of code open source quotation and plagiarism. Through a comprehensive analysis of existing code plagiarism detection tools and open source code features, and starting from the perspective of Alibaba's code management, this study considers measures for code quality management. Furthermore, innovative solutions are proposed to enhance the effectiveness of plagiarism detection tools. These methods aim to strengthen the distinction between open source citation and plagiarism, improve the accuracy of code plagiarism detection tools, and provide support for protecting intellectual property rights, maintaining software engineering ethics and industry ethics, ensuring balanced development of technological innovation, and promoting the development of open source communities.


Software Engineering Ethics, Plagiarism Detection, Code Open Source, Code Analysis, Code Optimization

Cite This Paper

Wenya Yang. Identification and Prevention of Code Open Source Quotation and Plagiarism — Innovative Solutions to Enhance Code Plagiarism Detection Tools. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 1: 65-71. https://doi.org/10.25236/AJCIS.2024.070110.


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