2010Unpublished venueRequires access

Homologous detection based on text, Token and abstract syntax tree comparison

Yan Zhang, Xinyu Gao, Ce Bian, Ding Ma, Baojiang Cui

Open publisher page 4 citations

Abstract

The research of software homologous detection is more important under the situation that the software market flourishes. Most of current detection tools are based on text which ignores the syntax structure of program codes, a few tools based on syntax structure are not good enough. CodeCompare the homologous detection system in this paper combines compare methods of text, Token, and abstract syntax tree using improved LCS algorithm as string comparison algorithm, which can detect the homologous of software more accurately and comprehensively. The comparison based on abstract syntax tree considers and analyses the syntax structure of program codes, achieves the detection on syntax aspect. Compared to other detect tools, CodeCompare includes more code plagiarizer methods, can detect more effectively.

About this research paper

What this paper is about

The research of software homologous detection is more important under the situation that the software market flourishes. Most of current detection tools are based on text which ignores the syntax structure of program codes, a few tools based on syntax structure are not good enough. CodeCompare the homologous detection system in this paper combines compare methods of text, Token, and abstract syntax tree using improved LCS algorithm as string comparison algorithm, which can detect the homologous of software more accurately and comprehensively. The comparison based on abstract syntax tree considers and analyses the syntax structure of program codes, achieves the detection on syntax aspect. Compared to other detect tools, CodeCompare includes more code plagiarizer methods, can detect more effectively.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

The research of software homologous detection is more important under the situation that the software market flourishes. Most of current detection tools are based on text which ignores the syntax structure of program codes, a few tools based on syntax structure are not good enough. CodeCompare the homologous detection system in this paper combines compare methods of text, Token, and abstract syntax tree using improved LCS algorithm as string comparison algorithm, which can detect the homologous of software more accurately and comprehensively. The comparison based on abstract syntax tree considers and analyses the syntax structure of program codes, achieves the detection on syntax aspect. Compared to other detect tools, CodeCompare includes more code plagiarizer methods, can detect more effectively.

Key concepts: Abstract syntax tree, Syntax, Computer science, Abstract syntax, Security token, Programming language, Syntax error, String (physics)

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