An overview of service tools based on machine learning for writing program source code

Abstract

An overview of service tools based on machine learning for writing program source code

Kakutin D.Y., Dmitriev A.S., Abramov I.M.

Incoming article date: 19.04.2022

In recent years, the use of various tools based on machine learning in the process of writing the source code of various programs, interfaces, and websites has been gaining momentum. These include programs that help in testing applications, programs that analyze the developer's code, as well as assistant programs that help write code right in the process, predicting and prompting the developer with options for the finished program code. In this article, just the same, such assistant programs will be considered in order to analyze the shortcomings and justify the need to develop functionality in this direction.

Keywords: source code, machine learning, neural networks, application testing problem, natural language processing