Source code plagiarism detection

2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016
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.
Matija Novak
exaly +3 more sources

A state of art on source code plagiarism detection

2016 2nd International Conference on Next Generation Computing Technologies (NGCT), 2016
Plagiarism is becoming a serious problem for intellectual community. The detection of plagiarism at various levels is a major issue. The complexity of the problem increases when we are finding the plagiarism in the source codes that may be in the same language or they have been transformed into other languages. This type of plagiarism is found not only

exaly +2 more sources

Source code plagiarism detection: The Unix way

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2017
The paper describes similarity detection method for language independent source code similarity detection. It is based on idea of maximum reusability of standard Unix filters. This method was implemented and benchmarked with different datasets from real world (students' assignments) and also synthetic datasets (perfect plagiarism experiment).
Daniela Chuda
exaly +2 more sources

plagiarism
4. education
machine learning

source code
source code similarity
plagiarism detection

fos: computer and information sciences
source code plagiarism
programming