DagSemProc.06301.7.pdf
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Detection of Plagiarism in University Projects Using Metrics-based Spectral Similarity
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Dagstuhl Seminar Proceedings, Volume 6301
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2007-04-26
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Ettore Merlo. Detection of Plagiarism in University Projects Using Metrics-based Spectral Similarity. In Duplication, Redundancy, and Similarity in Software. Dagstuhl Seminar Proceedings, Volume 6301, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)
https://doi.org/10.4230/DagSemProc.06301.7
https://doi.org/10.4230/DagSemProc.06301.7
Abstract
An original method of spectral similarity analysis for plagiarism
detection in university project is presented. The approach is based on
a clone detection tool called CLAN that performs metrics based
similarity analysis of source code fragments. Definitions and
algorithms for spectral similarity analysis are presented and
discussed. Experiments performed on university projects are
presented. Experimental results include the distribution of similarity
in C and C++ projects. Analysis of spectral similarity distribution
identifies the most similar pairs of projects that can be considered as
candidates for plagiarism.
Keywords
- Plagiarism detection
- software comparison
- clone detection
- spectral analysis
- code metrics
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