Shen, Victor R.L and Putri, Farica Perdana (2016) A Code Plagiarism Detection System Based on Abstract Syntax Tree and a High Level Fuzzy Petri Net. DEStech Transactions on Materials Science and Engineering.
Full text not available from this repository.Abstract
Students, who majored in computer science, are required to design and code in a variety of programming languages. However, many students submit the source code assignments they get from the Internet or friends with no or little modification. This paper proposes a novel method of detecting the source code plagiarism by using a high-level fuzzy Petri net (HLFPN) based on abstract syntax trees (AST). The experimental results indicate that we are directed to make better determination to detect the code plagiarism.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 08 Oct 2021 07:54 |
| Last Modified: | 08 Oct 2021 07:54 |
| URI: | https://kc.umn.ac.id/id/eprint/18594 |
Actions (login required)
 |
View Item |
