Using metrics to detect plagiarism (student paper)

Authors:
Shauna D. Stephens
Affiliations:
Department of Computer and Information Sciences, Florida A&M University, Tallahassee, FL
Venue:
Proceedings of the seventh annual consortium for computing in small colleges central plains conference on The journal of computing in small colleges
Year:
2001

Citing 3
Cited 3

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Sim: a utility for detecting similarity in computer programs

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Preventing plagiarism in computer literacy courses

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A source code linearization technique for detecting plagiarized programs

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Plagiarism detection among source codes using adaptive local alignment of keywords

Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication

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Abstract

Plagiarism in programming courses calls for a need for professors to be able to correctly identify occurrences of plagiarism in order to safeguard the educational process. However, detecting plagiarism is a long and tedious ordeal because of the fine line between allowable peer-peer collaboration and plagiarism. In this paper we present a metrics-based tool which aids in the process of detecting plagiarizers by monitoring the similarities between programs.