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DOI: 10.4230/OASIcs.SLATE.2014.143

Plagiarism Detection: A Tool Survey and Comparison

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

Published in: OASIcs, Volume 38, 3rd Symposium on Languages, Applications and Technologies (2014)

Abstract

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.

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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)

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@InProceedings{martins_et_al:OASIcs.SLATE.2014.143,
  author =	{Martins, V{\'\i}tor T. and Fonte, Daniela and Henriques, Pedro Rangel and da Cruz, Daniela},
  title =	{{Plagiarism Detection: A Tool Survey and Comparison}},
  booktitle =	{3rd Symposium on Languages, Applications and Technologies},
  pages =	{143--158},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-68-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{38},
  editor =	{Pereira, Maria Jo\~{a}o Varanda and Leal, Jos\'{e} Paulo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2014.143},
  URN =		{urn:nbn:de:0030-drops-45667},
  doi =		{10.4230/OASIcs.SLATE.2014.143},
  annote =	{Keywords: software, plagiarism, detection, comparison, test}
}

Document

DOI: 10.4230/OASIcs.SLATE.2013.129

A Flexible Dynamic System for Automatic Grading of Programming Exercises

Authors: Daniela Fonte, Daniela da Cruz, Alda Lopes Gançarski, and Pedro Rangel Henriques

Published in: OASIcs, Volume 29, 2nd Symposium on Languages, Applications and Technologies (2013)

Abstract

The research on programs capable to automatically grade source code has been a subject of great interest to many researchers. Automatic Grading Systems (AGS) were born to support programming courses and gained popularity due to their ability to assess, evaluate, grade and manage the students' programming exercises, saving teachers from this manual task. This paper discusses semantic analysis techniques, and how they can be applied to improve the validation and assessment process of an AGS. We believe that the more flexible is the results assessment, the more precise is the source code grading, and better feedback is provided (improving the students learning process). In this paper, we introduce a generic model to obtain a more flexible and fair grading process, closer to a manual one. More specifically, an extension of the traditional Dynamic Analysis concept, by performing a comparison of the output produced by a program under assessment with the expected output at a semantic level. To implement our model, we propose a Flexible Dynamic Analyzer, able to perform a semantic-similarity analysis based on our Output Semantic-Similarity Language (OSSL) that, besides specifying the output structure, allows to define how to mark partially correct answers. Our proposal is compliant with the Learning Objects standard.

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Daniela Fonte, Daniela da Cruz, Alda Lopes Gançarski, and Pedro Rangel Henriques. A Flexible Dynamic System for Automatic Grading of Programming Exercises. In 2nd Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 29, pp. 129-144, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@InProceedings{fonte_et_al:OASIcs.SLATE.2013.129,
  author =	{Fonte, Daniela and Cruz, Daniela da and Gan\c{c}arski, Alda Lopes and Henriques, Pedro Rangel},
  title =	{{A Flexible Dynamic System for Automatic Grading of Programming Exercises}},
  booktitle =	{2nd Symposium on Languages, Applications and Technologies},
  pages =	{129--144},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-52-1},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{29},
  editor =	{Leal, Jos\'{e} Paulo and Rocha, Ricardo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2013.129},
  URN =		{urn:nbn:de:0030-drops-40343},
  doi =		{10.4230/OASIcs.SLATE.2013.129},
  annote =	{Keywords: Automatic Grading Systems, Domain Specific Languages, DSL, Dynamic Analysis}
}

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Documents authored by Fonte, Daniela

Plagiarism Detection: A Tool Survey and Comparison

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A Flexible Dynamic System for Automatic Grading of Programming Exercises

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