[2604.00171] Unified Architecture Metamodel of Information Systems Developed by Generative AI

[2604.00171] Unified Architecture Metamodel of Information Systems Developed by Generative AI

arXiv - AI 4 min read

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Abstract page for arXiv paper 2604.00171: Unified Architecture Metamodel of Information Systems Developed by Generative AI

Computer Science > Software Engineering arXiv:2604.00171 (cs) [Submitted on 31 Mar 2026] Title:Unified Architecture Metamodel of Information Systems Developed by Generative AI Authors:Oleg Grynets, Vasyl Lyashkevych View a PDF of the paper titled Unified Architecture Metamodel of Information Systems Developed by Generative AI, by Oleg Grynets and 1 other authors View PDF Abstract:The rapid development of AI and LLMs has driven new methods of SDLC, in which a large portion of code, technical, and business documentation is generated automatically. However, since there is no single architectural framework that can provide consistent, repeatable transformations across different representation layers of information systems, such systems remain fragmented in their system representation. This study explores the problem of creating a unified architecture for LLM-oriented applications based on selected architectural frameworks by SMEs. A framework structure is proposed that covers some key types of architectural diagrams and supports a closed cycle of transformations, such as: "Code to Documentation to Code". The key architectural diagrams are split equally between main architectural layers: high-layer (business and domain understanding), middle-layer (system architecture), and low-layer (developer-layer architecture). Each architectural layer still contains some abstraction layers, which make it more flexible and better fit the requirements of design principles and architectural p...

Originally published on April 02, 2026. Curated by AI News.

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