Source Code and Text Plagiarism Detection Strategies

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Plagiarism and collusion among students may be facilitated by the preponderance of material in electronic format and the ability to submit coursework online. A distinction has generally been drawn between plagiarism of text and plagiarism of source code, and different tools and metrics have been developed for either type. However, if a computer programming language is considered to be similar to a natural language (although it has a restricted syntax and vocabulary), computer-assisted text analysis techniques may be employed to assist the academic in detecting plagiarism in source code. So computational linguistics might inform software metrics, and vice versa.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages74-78
Number of pages5
Publication statusPublished - Aug 2003
Event4th Annual Conference of the LTSN Centre for Information and Computer Sciences - Galway
Duration: 1 Aug 2003 → …

Conference

Conference4th Annual Conference of the LTSN Centre for Information and Computer Sciences
Period1/08/03 → …

Fingerprint

Computational linguistics
Computer programming languages
Students

Cite this

Paris, M. (2003). Source Code and Text Plagiarism Detection Strategies. In Unknown Host Publication (pp. 74-78)
Paris, M. / Source Code and Text Plagiarism Detection Strategies. Unknown Host Publication. 2003. pp. 74-78
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abstract = "Plagiarism and collusion among students may be facilitated by the preponderance of material in electronic format and the ability to submit coursework online. A distinction has generally been drawn between plagiarism of text and plagiarism of source code, and different tools and metrics have been developed for either type. However, if a computer programming language is considered to be similar to a natural language (although it has a restricted syntax and vocabulary), computer-assisted text analysis techniques may be employed to assist the academic in detecting plagiarism in source code. So computational linguistics might inform software metrics, and vice versa.",
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Paris, M 2003, Source Code and Text Plagiarism Detection Strategies. in Unknown Host Publication. pp. 74-78, 4th Annual Conference of the LTSN Centre for Information and Computer Sciences, 1/08/03.

Source Code and Text Plagiarism Detection Strategies. / Paris, M.

Unknown Host Publication. 2003. p. 74-78.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Plagiarism and collusion among students may be facilitated by the preponderance of material in electronic format and the ability to submit coursework online. A distinction has generally been drawn between plagiarism of text and plagiarism of source code, and different tools and metrics have been developed for either type. However, if a computer programming language is considered to be similar to a natural language (although it has a restricted syntax and vocabulary), computer-assisted text analysis techniques may be employed to assist the academic in detecting plagiarism in source code. So computational linguistics might inform software metrics, and vice versa.

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Paris M. Source Code and Text Plagiarism Detection Strategies. In Unknown Host Publication. 2003. p. 74-78