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Moreover, it is even harder for online education platforms to find a method against source code plagiarism when the number of submissions from students goes much greater than the traditional offline cases. Students are deprived of the abilities to make innovations and think independently, which may also cause academic dishonesty.Īs what happened in traditional offline computer science education, online education suffers from plagiarism, too. Plagiarism diminishes the quality of education seriously. Some students usually try to copy source code from their classmates or search similar source code from the Internet as their assignments without modifying. Introductionĭue to the advancement of the Internet, source code plagiarism has become a big issue in the field of computer science education. WASTK is evaluated on different datasets and, as a result, performs much better than other popular methods like Sim and JPlag. Each node in an abstract syntax tree is assigned a weight by TF-IDF.
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To avoid misjudgment caused by trivial code snippets or frameworks given by instructors, an idea similar to TF-IDF (Term Frequency-Inverse Document Frequency) in the field of information retrieval is applied. WASTK firstly transfers the source code of a program to an abstract syntax tree and then gets the similarity by calculating the tree kernel of two abstract syntax trees. Different from other plagiarism detection methods, WASTK takes some aspects other than the similarity between programs into account. No catch.In this paper, we introduce a source code plagiarism detection method, named WASTK (Weighted Abstract Syntax Tree Kernel), for computer science education. But our Plagiarism Checker is totaly free.
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