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A New Similarity Measure Based on Weibull Distribution for Detecting Plagiarized Source Codes

机译:一种基于Weibull分布检测抄种源代码的新相似度量

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Most of previously released plagiarism detection tools and systems have been adopted normalized similarity measures which are unreliably sensitive to the size of programs compared. Also the most of previously announced tools have difficulties in determining the cutoff threshold to discriminate the plagiarized codes from innocent ones. In this paper, we present a new discriminating method based on Weibull distribution which was mainly used in studying genomic sequence similarity with statistical significance. We applied our new detection method to a real programming competition, ICPC East Asia Regional Contest. Our system was quite successful to detect a few plagiarized codes in the preliminary round of the contest. This experience clearly revealed the characteristics of similarity among the source codes submitted in programming contests.
机译:此前发布的抄袭检测工具和系统中的大部分是对比较的标准化相似度措施,这些测量与节目的大小相比是不可敏感的。此前,此前宣布的工具中的大部分均在确定截止阈值方面具有难以区分从无辜者的抄袭代码。在本文中,我们提出了一种基于Weibull分布的新的区分方法,主要用于研究基因组序列相似性与统计学意义。我们将新的检测方法应用于真正的编程竞争,ICPC东亚区域比赛。我们的系统非常成功地检测初级比赛中的一些抄袭代码。这种经验清楚地揭示了编程竞赛中提交的源代码之间相似性的特征。

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