MODELING AND DESIGNING SOFTWARE FOR COMPUTING SYSTEMS USING ARTIFICIAL INTELLIGENCE WITH A CONCISE REVIEW OF RECENT RESEARCH AND EMERGING TRENDS

Petrenko S.V. та Shlikhta G.O. та Babych S.M. (2025) MODELING AND DESIGNING SOFTWARE FOR COMPUTING SYSTEMS USING ARTIFICIAL INTELLIGENCE WITH A CONCISE REVIEW OF RECENT RESEARCH AND EMERGING TRENDS. Наука і техніка сьогодні, 2025 (№10): 51. с. 1171-1182. ISSN 2786-6025

Текст Петренко С.В., Бабич С.М.. Шліхта Г.О..pdf Завантажити (525kB)

Анотація

This paper investigates the application of artificial intelligence methods for modeling and designing software for computing systems. Contemporary approaches to integrating AI technologies into software development processes are examined, specifically the use of machine learning for automating the generation of architectural solutions, neural networks for predicting quality characteristics of software systems, and large language model-based tools for automatic code generation. The main challenges of traditional software design methodologies are analyzed, including high labor intensity of modeling processes, complexity of maintaining consistency between different abstraction levels, and limited ability to adapt architectural solutions to changing requirements. A hybrid approach to software design is proposed that combines classical methodologies (UML, BPMN) with artificial intelligence technologies. The architecture of an intelligent design support system has been developed, which includes modules for requirements analysis based on natural language processing, generation of architectural patterns using reinforcement learning, automatic optimization of software component structure, and verification of design decisions.

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