TRANSFORMATION OF SOFTWARE DEVELOPMENT PROCESS UNDER THE INFLUENCE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Abstract
The article is devoted to the study of the transformation of software development processes under the influence of artificial intelligence technologies. The paper analyzes current trends in the integration of intelligent algorithms into the software development life cycle and identifies key directions for the formation of new approaches to organizing engineering processes. The concepts of AI-Enhanced Software Development Life Cycle and AI-Driven Software Engineering are considered, which involve the systematic use of intelligent technologies at various stages of software product development. The application of artificial intelligence in requirements analysis, architectural design, code implementation, testing, and DevOps processes is characterized. Particular attention is paid to the use of intelligent programming tools, automated code generation systems, and software module analysis tools that contribute to increased developer productivity, reduced implementation time, and improved software quality. The transformation of professional roles within development teams and the emergence of new models of interaction between humans and artificial intelligence are also examined, reflected in changes in the nature of engineering activities and the redistribution of functions among team members. It is shown that the spread of intelligent technologies affects the organization of development teams, team structures, and the efficiency of engineering processes. The influence of artificial intelligence on architectural approaches to software system design is analyzed, particularly the development of AI-native applications, data-centric architectures, and the integration of ML pipelines and MLOps practices into modern software ecosystems. It is determined that the further development of AI-oriented software engineering is associated with the formation of new approaches to software development automation, the use of autonomous software solutions, and the integration of artificial intelligence into software lifecycle management processes, as well as improving development efficiency and adaptability of modern software systems.
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