Corona: code autonomous reference assistance

- Pangestu, Muftah Afrizal

Title
Corona: code autonomous reference assistance
Creator
Pangestu, Muftah Afrizal
Relation
University of Newcastle Research Higher Degree Thesis
Resource Type
thesis
Date
2022
Description
Masters Research - Master of Philosophy (MPhil)
Description
Code plagiarism – taking code from external sources and using it in one’s own programs – can be a serious issue for programming students, depending on the policies being applied by their instructors. However, plagiarism can be inadvertent, due to a lack of knowledge among students. Our research shows varied understandings of correct code reuse, suggesting that students are not provided with appropriate guidelines. Our goal is to help prevent code plagiarism by introducing good code referencing practice to students. We present Corona, a code referencing system that can assist students in creating references for their code while simultaneously educating them about ethical code reuse. Technical evaluation of the system shows that Corona can successfully generate references for code taken from 20 of 24 distinct programming assistance websites, and that it can find matches between students’ code and instructors’ example code and generate appropriate references. In addition, we propose a course component that will further elevate students’ participation in code referencing in a way that would be beneficial in a learning environment, regardless of class size.
Subject
code referencing; code similarity detection; comment generation; academic integrity; programming; computing education
Identifier
http://hdl.handle.net/1959.13/1508579
Identifier
uon:56138
Rights
Copyright 2022 Muftah Afrizal Pangestu
Language
eng
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