Efficient and Effective Plagiarism Detection for Large Code Repositories

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.