Перспективные направления совершенствования процессов жизненного цикла разработки программного обеспечения

Прикладная информатика. 2024. Т. 20. № 2.2025. С. 79–96.

Stoyanova O., Окусков И. С.

The article explores the ways to increase the operational efficiency of IT
companies by improving approaches to solving tasks at different stages of the software
development life cycle (SDLC). It is shown that the greatest potential for growth of operational
efficiency lies in the tasks of the stage of processing requirements. Automation of these tasks
via artificial intelligence tools, especially those based on large language models (LLM), will
significantly reduce the duration of SDLC by cutting the number of iterations for rework and
error correction. The paper analyses the capabilities of such tools, as well as the complexities
associated with their implementation, including the risk of technological dependence, the
problems of integrating new tools into the current IT landscape of companies, the risks of
disrupting the continuity of processes during implementation, as well as the difficulties of
assessing the economic effects. The paper concludes that a comprehensive approach to SDLC
modernisation is needed, which should combine technological innovation with organisational
changes in the form of transformation of corporate culture and processes aimed at adapting to
new technologies. Directions for further research are suggested, including the development of
universal methodologies for implementing AI tools and models for assessing their economic
efficiency.

Keywords: искусственный интеллект, операционная эффективность, ИТ-компания, IT company, operational efficiency, artificial intelligence, software development life cycle, жизненный цикл разработки программного обеспечения