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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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An Automatic Method Or Statement Level Plagiarism Detection In Source Code Using Abstract Syntax Tree

D.POONGODI, G.THOLKKAPPIAARASU Research Scholar, Manonmaniam Sundaranar University, Tirunelveli Principal, AVS Engineering College, Salem  

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Abstract: SYNTAX TREE

D.Poongodi1, G.TholkkappiaArasu2 Research Scholar, Manonmaniam Sundaranar University, Tirunelveli1 Principal, AVS Engineering College, Salem2

ABSTRACT: Plagiarism detection plays an important role in software security protection and license issues. Source- code plagiarism detection method can be classified as string-based, token-based, parse-tree-based and program- dependency-based. All of these approaches have certain limitations and can not meet the requirements when the source code is large and may produce false positives. But, parse-tree based detection improves the detection ability and efficiency. This paper describes method based source code detection, which detect the simple plagiarized code like exact match, near exact match and longest common sequence. And also proposes the agent based detection which will perform the detection automatically. Automatic plagiarism detection will be helpful for code clone detection in software industry.

Keyword: abstract syntax tree, plagiarism detection, source code plagiarism detection, parse tree, code clone.

How to Cite:

[1] D.POONGODI, G.THOLKKAPPIAARASU Research Scholar, Manonmaniam Sundaranar University, Tirunelveli Principal, AVS Engineering College, Salem  , β€œAn Automatic Method Or Statement Level Plagiarism Detection In Source Code Using Abstract Syntax Tree,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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