Teacher-oriented Source Code Similarity Detection and Visualization for Programming Assignments
Maxim Mozgovoy, Evgeny Pyshkin, John Blake, Marina Vladimirovna Purgina, Agnes Leung · IIAI Letters on Informatics and Interdisciplinary Research · 2022
In programming classes, instructors need to work with numerous exercise submissions to verify whether the submitted source code meets the requirements, and whether there is any unauthorized borrowing of code fragments.The checking procedure is laborious requiring much unproductive effort and time. However, ignoring instances of potential plagiarism may negatively impact learner motivation. Despite the existence of practical tools developed for software testing and similarity detection, there are still issues in developing an open-source submission assessment system that would streamline the classroom workflow. This paper describes a practical submission assessment system that reduces the time teachers spend checking the solutions submitted by students.