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URN: urn:nbn:de:0030-drops-9864
URL: https://drops.dagstuhl.de/opus/volltexte/2007/986/
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Merlo, Ettore

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

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06301.MerloEttore.Paper.986.pdf (0.1 MB)


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
Collection: 06301 - Duplication, Redundancy, and Similarity in Software
Issue Date: 2007
Date of publication: 26.04.2007


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