Detecting Source Code Plagiarism

Document Type

Thesis

Publication Date

2008

Disciplines

Computer Sciences | Physical Sciences and Mathematics

Advisor

Imad Rahal, Computer Science

Abstract

Plagiarism is a serious problem among university students and that needs to be taken care of. In order to deter students from submitting plagiarized work, instructors must have a way of automatically detecting plagiarism. Currently there are many tools to help instructors detect plagiarism within free-text essays, but there are few that focus specifically on source code plagiarism. This paper surveys the current techniques of detecting source code plagiarism, and them proposes a new technique, called N-Grams, and show that it has a significant amount of speed up without sacrificing a lot of accuracy in detecting plagiarism.

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