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Clone detection algorithm based on the Abstract Syntax Tree approach

Authors: Ovidiu Banias; Flavius-Mihai Lazar;

Clone detection algorithm based on the Abstract Syntax Tree approach

Abstract

In this paper we present useful methodologies in analyzing program code written in C programming language in order to detect source code clones between two or multiple files. For detecting student plagiarism in C code, we implemented a three phase clone detection algorithm based on the AST (Abstract Syntax Tree) approach. Starting from the state of the art in this domain, we make a short description and comparison between the proposed methods and finally we present a case study upon student assignments for the Programming Techniques classes. In the end, we conclude pointing the future directions of development and improvement in order to obtain a better clone detection tool.

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    popularity
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    Top 10%
    influence
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    Top 10%
    impulse
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citations
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!
17
Top 10%
Top 10%
Average
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