Source Code Plagiarism Detection Based on Abstract Syntax Tree Fingerprintings

V. Suttichaya, Niracha Eakvorachai, Tunchanok Lurkraisit
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Abstract

Syntax Tree (AST) is an abstract logical structure of source code represented as a tree. This research utilizes information of fingerprinting with AST to locate the similarities between source codes. The proposed method can detect plagiarism in source codes using the number of duplicated logical structures. The structural information of program is stored in the fingerprints format. Then, the fingerprints of source codes are compared to identify number of similar nodes. The final output is calculated from number of similar nodes known as similarities scores. The result shows that the proposed method accurately captures the common modification techniques from basic to advance.
基于抽象语法树指纹的源代码抄袭检测
语法树(AST)是用树表示的源代码的抽象逻辑结构。本研究利用AST的指纹信息来定位源代码之间的相似性。该方法可以利用重复逻辑结构的数量来检测源代码中的抄袭行为。程序的结构信息以指纹格式存储。然后,比较源代码的指纹来识别相似节点的数量。最终的输出是根据被称为相似性分数的相似节点的数量来计算的。结果表明,该方法准确地捕捉了常用的从基本到高级的改性技术。
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