AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
It was concluded that Clean Architecture cannot be viewed solely as an ally or a villain, as its effectiveness depends on project characteristics, team experience, and the proportionate application of its principles.
Findings indicate that software correctness is the primary objective in language design, supported by robust type systems, compile time verification, and expressive abstractions that help reduce errors and improve code reliability.
This paper analyzes the two software architectural approaches namely Monolithic Architecture vs Microservices Architecture when considering scalable software development, and puts the following into consideration: empirical trade-offs, scalability consideration, organizational implications, and development complexity.
It is demonstrated that multiple architectural views, continuous monitoring, domain-driven decomposition, and AI-assisted design techniques contribute significantly to improving scalability, maintainability, adaptability, and long-term software sustainability.
An empirical assessment indicating that DSAR supports comprehension, architectural reasoning, and communication; qualitative evidence on the strengths and limitations of the generated explanatory artefacts; and recommendations for practitioners and researchers on adopting and further developing DSAR for architectural s...
A Domain-Specific Language (DSL), named RI language, designed for the declarative description of microservices, along with a supporting tool, TSE (Toolbox Service Executor), implemented in Python and based on the RI grammar, enables the representation of structural and operational aspects of services in a technology-ag...
A practical approach to using the SOLID principles as a system of engineering constraints is proposed, which ensures sustainable development of a software product and reduces architectural risks throughout its life cycle.
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