Design and Implementation of Code Plagiarism Detection System

Tingzhou Liu, Zi-Shu Zhao, Hui Fang, Qin Huang, Wei Zhang
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Abstract

Despite the offline activities restriction due to the pandemic in the past two years, technology development allows courses and teaching activities to hold online. Therefore, online exams and competitions for computer-related majors will inevitably involve plagiarism. This research aims to develop an efficient and easy-to-use code plagiarism detection system supported by practical application results. The paper will first analyze the advantages and disadvantages of existing code plagiarism detection methods and systems, investigate the needs of college teachers for code plagiarism detection, propose a method to parse the source code, and then use the RKR-GST algorithm to calculate the similarity between the codes.
代码抄袭检测系统的设计与实现
尽管过去两年受疫情影响,线下活动受到限制,但技术的发展使课程和教学活动得以在线举行。因此,计算机相关专业的在线考试和竞赛将不可避免地涉及抄袭。本研究旨在开发一个高效、易用的代码抄袭检测系统,并以实际应用结果为支撑。本文将首先分析现有的代码抄袭检测方法和系统的优缺点,调查高校教师对代码抄袭检测的需求,提出一种解析源代码的方法,然后使用RKR-GST算法计算代码之间的相似度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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