A Duplicate Code Checking Algorithm for the Programming Experiment

Haoxin Wang, Jingdong Zhong, Defu Zhang
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引用次数: 2

Abstract

Recent years have witnessed a growing-number of plagiarism in the IT circle with the fast-developing Internet technology and an industry of software piracy is also simmering beneath the surface. There is no doubt that the plagiarists' behaviors belong to intellectual property infringement. So bad is the consequence that the plagiarism identification is drawing more and more attention from the public nowadays. Based on the longest common subsequence seeking algorithm, this paper develops a dynamic programming to solve the duplicate code checking problem and puts forward a new method to measure the program code similarity. Compared with other state-of-the-art LCS solutions, the proposed algorithm has higher efficiency and lower time complexity in most experimental cases.
一种用于编程实验的重复代码检查算法
近年来,随着互联网技术的快速发展,IT界的剽窃现象越来越多,软件盗版行业也在潜滋暗长。毫无疑问,抄袭者的行为属于知识产权侵权。如此糟糕的后果是,剽窃鉴定现在越来越受到公众的关注。在最长公共子序列搜索算法的基础上,提出了一种动态规划方法来解决程序代码重复检查问题,并提出了一种新的程序代码相似度度量方法。与现有的LCS算法相比,该算法在大多数实验情况下具有更高的效率和更低的时间复杂度。
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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