Plagiarism detection: A tool survey and comparison

Bibliographic Details
Main Author: Martins, Vítor T.
Publication Date: 2014
Other Authors: Fonte, Daniela, Henriques, Pedro Rangel, Cruz, Daniela da
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/64358
Summary: 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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spelling Plagiarism detection: A tool survey and comparisonComparisonDetectionPlagiarismSoftwareTestWe 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.(undefined)Schloss Dagstuhl - Leibniz-Zentrum für InformatikUniversidade do MinhoMartins, Vítor T.Fonte, DanielaHenriques, Pedro RangelCruz, Daniela da20142014-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/64358eng97839398976822190-680710.4230/OASIcs.SLATE.2014.143https://drops.dagstuhl.de/opus/volltexte/2014/4566/pdf/14.pdfinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T06:55:28Zoai:repositorium.sdum.uminho.pt:1822/64358Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:08:53.936851Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Plagiarism detection: A tool survey and comparison
title Plagiarism detection: A tool survey and comparison
spellingShingle Plagiarism detection: A tool survey and comparison
Martins, Vítor T.
Comparison
Detection
Plagiarism
Software
Test
title_short Plagiarism detection: A tool survey and comparison
title_full Plagiarism detection: A tool survey and comparison
title_fullStr Plagiarism detection: A tool survey and comparison
title_full_unstemmed Plagiarism detection: A tool survey and comparison
title_sort Plagiarism detection: A tool survey and comparison
author Martins, Vítor T.
author_facet Martins, Vítor T.
Fonte, Daniela
Henriques, Pedro Rangel
Cruz, Daniela da
author_role author
author2 Fonte, Daniela
Henriques, Pedro Rangel
Cruz, Daniela da
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Martins, Vítor T.
Fonte, Daniela
Henriques, Pedro Rangel
Cruz, Daniela da
dc.subject.por.fl_str_mv Comparison
Detection
Plagiarism
Software
Test
topic Comparison
Detection
Plagiarism
Software
Test
description 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.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/64358
url http://hdl.handle.net/1822/64358
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9783939897682
2190-6807
10.4230/OASIcs.SLATE.2014.143
https://drops.dagstuhl.de/opus/volltexte/2014/4566/pdf/14.pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Schloss Dagstuhl - Leibniz-Zentrum für Informatik
publisher.none.fl_str_mv Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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