An Investigation of Machine Learning-Based Plagiarism Detection in Computer Programming
Abstract: This paper proposes the improvement of machine learning-based plagiarism detection systems in college-level computer science courses. Current plagiarism detection systems have been previously developed for other fields, but lack the inability to work accurately and efficiently in the field of computer science. As there are many factors to be considered in the reason why there is no such perfect system yet and, in the requirements, to develop such a system, this paper explores the challenges, needs, and benefits associated with the creation, development, and implementation of such a system. It is hoped to display the need for further development of such a system to further improve the process of plagiarism detection within the field of computer science, and to minimize human involvement in the process.