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...

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Bibliographic Details
Main Authors: Yevhenii Kubiuk, Gennadiy Kyselov
Format: Article
Language:English
Published: PC Technology Center 2021-06-01
Series:Technology Audit and Production Reserves
Subjects:
Online Access:http://journals.uran.ua/tarp/article/view/233534