Source Code and Text Plagiarism Detection Strategies

M Paris

Source Code and Text Plagiarism Detection Strategies

M Paris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	LTSN Centre for Information and Computer Sciences
Pages	74-78
Number of pages	5
ISBN (Print)	0-9541927-4-5
Publication status	Published (in print/issue) - Aug 2003
Event	4th Annual Conference of the LTSN Centre for Information and Computer Sciences - Galway Duration: 1 Aug 2003 → …

Conference

Conference	4th Annual Conference of the LTSN Centre for Information and Computer Sciences
Period	1/08/03 → …

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title = "Source Code and Text Plagiarism Detection Strategies",

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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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.

UR - http://www.ics.ltsn.ac.uk/pub/conf2003/menu.html

M3 - Conference contribution

SN - 0-9541927-4-5

SP - 74

EP - 78

BT - Unknown Host Publication

PB - LTSN Centre for Information and Computer Sciences

T2 - 4th Annual Conference of the LTSN Centre for Information and Computer Sciences

Y2 - 1 August 2003

ER -

Source Code and Text Plagiarism Detection Strategies

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