Context-aware AI partners for automatic documentation generation based on business logic

Автор: Khudaiberideva G.B., Kozhukhov D.A., Pimenkova A.A.

Журнал: Мировая наука @science-j

Рубрика: Основной раздел

Статья в выпуске: 8 (101), 2025 года.

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The article is devoted to the study of the concept of context-aware artificial intelligent systems designed to generate complex documentation that integrates technical aspects of software with business logic and strategic goals of the organization. The limitations of existing automated documentation generation tools, focusing mainly on the technical component, are analyzed. A model of an AI partner capable of a deep understanding of the context of requirements, target audience and business processes is proposed. A key aspect of the concept is bidirectional integration: the ability of the system not only to analyze the program code, but also to form recommendations for optimizing requirements based on identified inconsistencies. The fundamental challenges associated with the need for a complex synthesis of knowledge from the fields of business intelligence and software engineering are considered. Directions for further research in this unexplored area are formulated.

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Automatic documentation generation, artificial intelligence, business logic, contextual understanding, bidirectional integration, software engineering, business analytics, technical documentation, business documentation, ai partner

Короткий адрес: https://sciup.org/140312505

IDR: 140312505   |   УДК: 004.89