Multi-language code plagiarism detection method based on pseudo twin network

Abstract

The invention discloses a multi-language code plagiarism detection method based on a pseudo twin network, and the method comprises the steps: 1), obtaining basic data which comprises a pre-training data set and a multi-language code plagiarism detection training data set; 2) preprocessing the pre-training data set to obtain an accurate mark vector; 3) preprocessing the multi-language code plagiarism detection training data set to preliminarily judge whether the code is plagiarism or not; and 4) further judging whether the plagiarism exists in the multi-language code plagiarism detection training data set or not. According to the method, the limitation that code structure characteristics are not considered when codes are taken as texts to be processed in an existing multi-language code plagiarism detection method based on machine learning is broken through; in combination with structural characteristics of codes based on an abstract syntax tree, a convolutional neural network, a bidirectional long-short-term memory artificial neural network and a novel attention neural network are embedded into a pseudo twin network, so that multi-language code plagiarism detection is realized, andthe code plagiarism detection efficiency and precision are effectively improved.

Description

technical field [0001] The invention relates to the technical field of computer program design code detection, in particular to a method for detecting plagiarism of multilingual codes based on a pseudo-twin network. Background technique [0002] The development of the Internet has made it easier to obtain source code through the Internet, and it has also brought about the problem of code plagiarism. Therefore, source code plagiarism detection technology has been researched by more and more scholars, and code plagiarism detection has important applications in the teaching of current computer programming courses. In recent years, many code plagiarism detection methods have emerged. The existing code plagiarism detection methods are mainly used to detect the similarity between codes in the same language, but the grammatical differences between different programming languages ​​make these methods not suitable for detecting the similarity between codes in different languages; in ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and propose a multilingual code plagiarism detection method based on a pseudo-twin network, which can break through the existing multilingual code plagiarism detection method that does not consider the structural characteristics of the code and is extremely vulnerable Problems affected by redundant code

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