Tag: architectural verification

Annotation: This article explores the problems and challenges of automating the analysis of compliance of software systems with Domain-Driven Design (DDD) principles. The main obstacles are identified, including the lack of standardized formal models of the domain area, the difficulty of identifying domain concepts in code without explicit annotations, the diversity of DDD practices across real-world projects, and the technical limitations of current analysis tools. The paper provides a classification of existing architectural analysis approaches, including static and dynamic code analysis, the use of metadata and annotations, domain knowledge modeling through UML and DSLs, and the application of machine learning methods. Promising research directions are outlined, focusing on the development of formal models and metamodels, the integration of compliance verification into CI/CD processes, and the creation of hybrid analysis methodologies. The study aims to contribute to the foundation for future development of tools ensuring the architectural quality of complex software systems.