Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level

2017 ◽  
Author(s):  
Lov Kumar ◽  
Ashish Sureka
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Source Code ◽  
Organization Level ◽  
Change Proneness ◽  
Code Metrics ◽  
Artificial Neural ◽  
Source Code Metrics ◽  
Program Organization

scholarly journals Search for potentially dangerous constructs in the source code of the program using neural networks

2021 ◽  
Vol 2131 (2) ◽  
pp. 022111
Author(s):  
A Zelensky ◽  
L Cherkesova ◽  
Ye Revyakina ◽  
D Korochentsev
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Source Code ◽  
Effective Solution ◽  
Artificial Neural

Abstract This work is devoted to the study of artificial neural networks to search for potentially dangerous constructs in the source code of the program. A modification of the existing analyzer programs is proposed for a better search for vulnerabilities in software. The use of neural networks will allow programmers and analysts to find those vulnerabilities that have not yet been added to the database. As a result of the research, it was found that the use of neural networks to identify specified constructs is a more effective solution than searching through a database of vulnerabilities, since it allows you to identify not only those constructs that are in the database, but also suspicious code sections.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural
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