源代码抄袭检测:Unix方式

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI:10.1109/SAMI.2017.7880355

Juraj Petrík, D. Chudá, Branislav Steinmüller

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引用次数: 7

摘要

本文描述了一种独立于语言的源代码相似度检测方法。它基于标准Unix过滤器的最大可重用性的思想。该方法使用来自真实世界的不同数据集(学生作业)和合成数据集(完美抄袭实验)来实现和基准测试。我们的方法取得了明显优于竞争对手的结果，这被认为是抄袭检测的金标准。

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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Source code plagiarism detection: The Unix way

The paper describes similarity detection method for language independent source code similarity detection. It is based on idea of maximum reusability of standard Unix filters. This method was implemented and benchmarked with different datasets from real world (students' assignments) and also synthetic datasets (perfect plagiarism experiment). Our method achieved significantly better results than competitors, which are considered as gold standard in plagiarism detection.

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2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)

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