哪种源代码抄袭检测方法更人性化?

Oscar Karnalim, Lisan Sulistiani
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引用次数: 4

摘要

本文有助于开发更符合人类视角的源代码抄袭检测。提出了三种直接将人类视角与评估方法联系起来的评估机制:出声思考、面向方面和经验机制。利用这些机制,对基于属性和基于结构的抄袭检测方法(即源代码抄袭检测中常用的两种方法)进行了比较研究。研究表明,基于结构的方法比基于属性的方法更有效;它的特征方面和结果相似度更多地与人类的偏好有关。此外,这种方法与怀疑源代码抄袭的大多数以人为本的方面有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Which Source Code Plagiarism Detection Approach is More Humane?
This paper contributes in developing source code plagiarism detection that is more aligned with human perspective. Three evaluation mechanisms that directly relate human perspective with evaluated approaches are proposed: think-aloud, aspectoriented, and empirical mechanism. Using those mechanisms, a comparative study toward attribute-and structure-based plagiarism detection approach (i.e., two popular approach categories in source code plagiarism detection) is conducted. According to that study, structure-based approach is more effective than the attribute-based one; its signature aspect and resulted similarity degrees are more related to human preferences. In addition, such approach is related to most human-oriented aspects for suspecting source code plagiarism.
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