PLAGIARISM DETECTION IN PROGRAMMING USING PERFORMANCE ANALYZING FEATURES

D.S. Adane, Abhishek Angale, Ayush Singh, Rituj Aryan, Sumeet Yadav
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引用次数: 1

Abstract

In recent years, plagiarism that uses the code snippets or program of others without permission has become a social problem. It is widely spread from very familiar student reports to worldwide academic papers. In this paper, we deal with plagiarism in programming assignments, and explain the plagiarism patterns often found in text. Existing plagiarism detection tools utilize string matching algorithms to calculate the plagiarism. We have brought to light the problems associated with existing tools and propose a method to rectify them efficiently with the help of algorithms proposed in the paper. To the existing detection method, we combine some heuristics which are estimation of time complexity and loop detection, to improve the accuracy of the plagiarized sections and propose it as a plagiarism detection method.
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基于性能分析特征的编程剽窃检测
近年来,未经许可使用他人的代码片段或程序的抄袭已成为一个社会问题。它广泛传播,从非常熟悉的学生报告到世界范围的学术论文。在本文中,我们处理了编程作业中的抄袭,并解释了在文本中经常发现的抄袭模式。现有的抄袭检测工具使用字符串匹配算法来计算抄袭。我们揭示了与现有工具相关的问题,并提出了一种利用本文提出的算法有效纠正这些问题的方法。针对现有的检测方法,我们结合了时间复杂度估计和环路检测等启发式方法,提高了抄袭部分的检测精度,提出了一种抄袭检测方法。
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来源期刊
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
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