Efficient and Effective Plagiarism Detection for Large Code Repositories
نویسندگان
چکیده
ABSTRACT: The copying of programming assignments is a widespread problem in academic institutions. Manual plagiarism detection is time-consuming, and current popular plagiarism detection systems are not scalable to large code repositories. While there are text-based plagiarism detection systems capable of handling millions of student papers, comparable systems for codebased plagiarism detection are in their infancy. In this paper, we propose and evaluate new techniques for code plagiarism detection. Using small and large collections of programs, we show that our approach is highly scalable while maintaining similar levels of effectiveness to that of JPlag.
منابع مشابه
Efficient plagiarism detection for large code repositories
Unauthorized re-use of code by students is a widespread problem in academic institutions, and raises liability issues for industry. Manual plagiarism detection is time-consuming, and current effective plagiarism detection approaches cannot be easily scaled to very large code repositories. While there are practical text-based plagiarism detection systems capable of working with large collections...
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