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URN: urn:nbn:de:0030-drops-9864
URL: http://drops.dagstuhl.de/opus/volltexte/2007/986/

Merlo, Ettore

Detection of Plagiarism in University Projects Using Metrics-based Spectral Similarity

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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.

BibTeX - Entry

@InProceedings{merlo:DSP:2007:986,
  author =	{Ettore Merlo},
  title =	{Detection of Plagiarism in University Projects Using Metrics-based Spectral Similarity},
  booktitle =	{Duplication, Redundancy, and Similarity in Software},
  year =	{2007},
  editor =	{Rainer Koschke and Ettore Merlo and Andrew Walenstein},
  number =	{06301},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2007/986},
  annote =	{Keywords: Plagiarism detection, software comparison, clone detection, spectral analysis, code metrics}
}

Keywords: Plagiarism detection, software comparison, clone detection, spectral analysis, code metrics
Seminar: 06301 - Duplication, Redundancy, and Similarity in Software
Issue date: 2007
Date of publication: 26.04.2007


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