Karnalim, Oscar and Budi, Setia (2018) The Effectiveness of Low-Level Structure-based Approach Toward Source Code Plagiarism Level Taxonomy. In: 6th International Conference on Information and Communication Technology (ICoICT), 3-5 May 2018, Bandung.
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11. The Effectiveness of Low Level Structure.pdf - Published Version Download (3424Kb) | Preview |
Abstract
Low-level approach is a novel way to detect source code plagiarism. Such approach is proven to be effective when compared to baseline approach (i.e., an approach which relies on source code token subsequence matching) in controlled environment. We evaluate the effectiveness of state of the art in low-level approach based on Faidhi & Robinson’s plagiarism level taxonomy; real plagiarism cases are employed as dataset in this work. Our evaluation shows that state of the art in low-level approach is effective to handle most plagiarism attacks. Further, it also outperforms its predecessor and baseline approach in most plagiarism levels.
| Item Type: | Conference or Workshop Item (Paper) |
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| Uncontrolled Keywords: | source code plagiarism detection, low-level language, programming, software engineering, computer science education |
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Perpustakaan Maranatha |
| Date Deposited: | 13 Feb 2019 09:52 |
| Last Modified: | 14 Feb 2019 06:22 |
| URI: | http://repository.maranatha.edu/id/eprint/25485 |
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