| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 02038 | |
| Number of page(s) | 6 | |
| Section | 3D Images Reconstruction and Virtual System | |
| DOI | https://doi.org/10.1051/matecconf/201823202038 | |
| Published online | 19 November 2018 | |
An Approach to Source Code Plagiarism Detection Based on Abstract Implementation Structure Diagram
1
School of Computer, Science Beijing Information Science & Technology University, 100101, Beijing, China
2
Software Engineering Research Center, Beijing Information Science & Technology University, 100101, Beijing, China
* Corresponding author: a13126707629@163.com
b guoshuang1008@163.com
Source-code plagiarism detection in programming, concerns the identification of source-code files that contain similar and/or identical source-code fragments. Based on the analysis of the characteristics and defects of the existing program code similarity detection system, a method of source code similarity detection based on Abstract Implementation Structure Diagram (AISD) is proposed. The source code modelling and format into an abstract implementation structure diagram, and forming structural feature strings and variable reference relationship sequences by extracting structural features and variable position features. We calculate the overall similarity by calculating structural similarity and variable similarity. The results demonstrate that the performance of the proposed AISD-based approach overcomes other approaches on the same source code datasets, and reveals promising results as an efficient and reliable approach to source-code plagiarism detection.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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