Comparative analysis of approaches to source code vulnerability detection based on deep learning methods
The object of research of this work is the methods of deep learning for source code vulnerability detection. One of the most problematic areas is the use of only one approach in the code analysis process: the approach based on the AST (abstract syntax tree) or the approach based on the program depen...
Main Authors: | Yevhenii Kubiuk, Gennadiy Kyselov |
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Format: | Article |
Language: | English |
Published: |
PC Technology Center
2021-06-01
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Series: | Technology Audit and Production Reserves |
Subjects: | |
Online Access: | http://journals.uran.ua/tarp/article/view/233534 |
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