This special issue explores the intersection of artificial intelligence and software architecture, focusing on how AI techniques can enhance the design, analysis, and management of software systems. The collection seeks research on machine learning, deep learning, and generative AI approaches that support architectural decision-making, quality assessment, and documentation generation.
The issue addresses both opportunities and challenges in applying AI methods to architectural problems, including ensuring explainability of recommendations and handling the complexity of real-world systems. It aims to gather empirical studies, novel methodologies, and practical tools that demonstrate the impact of AI on architectural practices and processes.