Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Review of source-code plagiarism detection in academia
40
Zitationen
1
Autoren
2016
Jahr
Abstract
Plagiarism is a big concern in academia and it can be a problem in every course. Plagiarism occurs when someone present others work as their own. Students plagiarize in different areas: homework assignments, essays, projects, etc. In this work focus is on programming courses and plagiarism in programming assignments. While source-code plagiarism detection, is in some way very similar to text plagiarism detection, it is very different in other ways. So, a lot of research is done focusing on source-code plagiarism. Some questions that are researched in this field are: what is considered plagiarism in programming assignments, how to perform plagiarism detection in programming assignments, how to do it automatically, what tool(s) to use, how students cheat in programming courses, how they try to obfuscate cheating, and many other questions. This work is a review of important research papers in the field of source-code plagiarism detection in academia. This paper tries to answer some of the mentioned research questions and give indication to future work.
Ähnliche Arbeiten
International Journal of Scientific and Research Publications
2022 · 2.691 Zit.
Student writing in higher education: An academic literacies approach
1998 · 2.490 Zit.
Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling
2012 · 2.303 Zit.
How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data
2009 · 1.919 Zit.
Chatting and cheating: Ensuring academic integrity in the era of ChatGPT
2023 · 1.751 Zit.