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The Source Code Plagiarism Detection Using AST

Authors: Xiao Li; Xiao Jing Zhong;

The Source Code Plagiarism Detection Using AST

Abstract

In the instruction of computer courses, some students copy other’s source code as themselves. In order to detect this plagiarism accurately, researchers did a lot. In this paper, we described a source code plagiarism detection technologe based on AST, This technologe can detect the plagiarism accurately when the position of functions is changed by plagiarist. At first, transforming the programs to the AST using ANTLR, and then, abstracting the function subtrees from the AST, at last, compare the function subtree using LCS, get the simalarity between programs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Average
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