Usage of Artificial Intelligence to Improve Secure Software Development

Authors : Ahmet EFE

Pages : 46-57

Doi:10.23834/isrjournal.824662

View : 18 | Download : 9

Publication Date : 2021-02-20

Article Type : Review Paper

Abstract :C# is an object-oriented software language that was developed by Microsoft and runs on the .NET framework. It has the ninth in Github, and it would cause a great impact in .NET. Main method for the situation is mainly using the machine learning techniques to analyze the source code and determine the security level of a source code. Our focus point is the source code files that written in C#. By evaluating the source code elements of software, the framework could proclaim that either a software product is secure or not, thus developer can make necessary arrangement in his or her code. It is important, because securing the code during the creation of the software is easy as compared with the end of the software creation. As part of a limited literature review study, we have analyzed 3 main articles in detail. An assessment of the review is conducted according to artificial neural network logic to help improve the Security of C# software development.
Keywords : NET, C, ASP, Software Security, Artificial Neural Network