Browsing by Author "Danylov, Oleksii"

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    Methodology for improving programs based on means of code generation by artificial intelligence
    (National Aviation University, 2023-12) Danylov, Oleksii; Данилов, Олексій Геннадійович
    The methodology of designing software modules using artificial intelligence plays a crucial role in understanding and analyzing existing software systems. This paper examines the integration of artificial intelligence (AI) techniques, including IntelliSense, Code Formatter, ChatGPT, and GitHub Copilot and similar programs to GitHub Copilot for code generation of software systems. The goal is to use AI capabilities to improve various software modules, including code understanding, refactoring, and creating step-by-step documentation for performing specific software improvement actions. We review each AI method, discuss their potential contribution to improved part design, and present a framework for their integration. In addition, we discuss the benefits, challenges, and future directions for AI-driven improvement and exploration of critical security challenges code generation model. The object of research is the methodology of improving programs based on means of code generation by artificial intelligence. The purpose of the work is to propose a methodology for improving programs based on means of code generation by artificial intelligence and to demonstrate its application on practical examples. Research methods - use of software reverse engineering methods and artificial intelligence methods.