Material Survey on Source Code Plagiarism Detection in Programming Courses
Cîmpeanu Alexandra-Cristina, Alexandru-Corneliu Olteanu · 2022 International Conference on Advanced Learning Technologies (ICALT) · 2022
Plagiarism has always been a serious concern in programming courses. Most universities use online code evaluation platforms to assess students’ knowledge, making source code plagiarism a real concern. With the hope of reducing this problem, many source code plagiarism detection tools are proposed each year, either based on source code analysis or the changes in student's characteristics, such as behavior, history of submissions, source IP address, etc. The purpose of this research is to offer a detailed state-of-the-art overview on source code plagiarism detection in programming courses and suggest a direction for a robust approach.