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Plagiarism Detection Algorithm for Source Code in Computer Science Education

机译:计算机科学教育中源代码的窃检测算法

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摘要

Nowadays, computer programming is getting more necessary in the course of program design in college education. However, the trick of plagiarizing plus a little modification exists among some students' home works. It's not easy for teachers to judge if there's plagiarizing in source code or not. Traditional detection algorithms cannot fit this condition. The author designed an effective and complete method to detect source code plagiarizing according to the popular way of students 'plagiarizing. There are two basic concepts of the algorithm. One is to standardize the source code via filtration against to remove the majority noises intentionally blended by plagiarists. The other one is an improved Longest Common Subsequence algorithm for text matching, using statement as the unit for matching. The authors also designed an appropriate HASH function to increase the efficiency of matching. Based on the algorithm, a system was designed and proved to be practical and sufficient, which runs well and meet the practical requirement in application.
机译:如今,在大学教育的程序设计过程中,计算机编程变得越来越必要。但是,一些学生的家庭作业中存在of窃的技巧和一些修改。对于教师来说,判断源代码是否存在抄袭并不容易。传统的检测算法无法满足这种条件。笔者根据学生抄袭的流行方式,设计了一种有效,完整的抄袭源代码检测方法。该算法有两个基本概念。一种是通过过滤使源代码标准化,以消除remove窃者故意混入的大多数噪声。另一个是使用语句作为匹配单位的,用于文本匹配的改进的最长公共子序列算法。作者还设计了适当的HASH函数以提高匹配效率。基于该算法,设计并验证了该系统的实用性和充分性,运行良好,满足实际应用需求。

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