A Code Plagiarism Detection System Based on Abstract Syntax Tree and a High Level Fuzzy Petri Net

Victor R.L. SHEN, Farica P. PUTRI

Abstract


Students, who majored in computer science, are required to design and code in a variety of programming languages. However, many students submit the source code assignments they get from the Internet or friends with no or little modification. This paper proposes a novel method of detecting the source code plagiarism by using a high-level fuzzy Petri net (HLFPN) based on abstract syntax trees (AST). The experimental results indicate that we are directed to make better determination to detect the code plagiarism.

Keywords


Source code plagiarism, Lexical analysis, Syntax analysis, Abstract syntax tree, High-level fuzzy petri net.


DOI
10.12783/dtmse/mmme2016/10092

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