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Plagiarism Detection: A Tool Survey and Comparison

Authors Vítor T. Martins, Daniela Fonte, Pedro Rangel Henriques, Daniela da Cruz

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Vítor T. Martins
Daniela Fonte
Pedro Rangel Henriques
Daniela da Cruz

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Vítor T. Martins, Daniela Fonte, Pedro Rangel Henriques, and Daniela da Cruz. Plagiarism Detection: A Tool Survey and Comparison. In 3rd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 38, pp. 143-158, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2014)


We illustrate the state of the art in software plagiarism detection tools by comparing their features and testing them against a wide range of source codes. The source codes were edited according to several types of plagiarism to show the tools accuracy at detecting each type. The decision to focus our research on plagiarism of programming languages is two fold: on one hand, it is a challenging case-study since programming languages impose a structured writing style; on the other hand, we are looking for the integration of such a tool in an Automatic-Grading System (AGS) developed to support teachers in the context of Programming courses. Besides the systematic characterisation of the underlying problem domain, the tools were surveyed with the objective of identifying the most successful approach in order to design the aimed plugin for our AGS.
  • software
  • plagiarism
  • detection
  • comparison
  • test


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