The IEEE International Conference on Software Architecture (ICSA) is the premier gathering of practitioners and researchers interested in software architecture, component-based software engineering, and quality aspects of complex software systems. The 22st IEEE International Conference on Software Architecture (ICSA 2025) continues the tradition of a working conference, where practitioners and researchers meet and where software architects can explain the challenges they face and try to influence the future of the field. Interactive working sessions will be the place where researchers meet practitioners to identify opportunities to create the future. The rapid development and integration of advanced artificial intelligence (AI) technologies are transforming the landscape of software architecture. As we move towards the next generation of intelligent systems, architects are challenged to design frameworks that can seamlessly incorporate AI capabilities such as natural language processing, machine learning, and generative models. The theme of ICSA 2025 is Architecting for the Next Generation of Intelligent Systems. ICSA 2025 innovative contributions that explore the opportunities and challenges presented by these advancements. We seek papers that propose new methodologies, tools, and best practices for integrating intelligent systems into software architecture. Additionally, we welcome case studies highlighting both successful and unsuccessful applications of these technologies, providing valuable insights into their practical implications and potential pitfalls. Besides the main theme, we call on both researchers and practitioners for contributions that advance our understanding of architectures in real-world software, facilitate empirical research by making architectural artifacts and tools publicly available, and promote replicability of results through common datasets and benchmarks. We welcome original papers that explore and explain the role of architecture in current systems and future systems. This conference looks at what can be learned from our software architecture history, experience, studies, and best practices. Important Dates Abstracts due: October 28th, 2024 Full papers due: November 1st, 2024 Notification of acceptance: December 4th, 2024 Camera-ready due: January 18th, 2025 Notes: All deadlines are 23:59h AoE (anywhere on Earth) Topics Topics of interest for the conference include (but are not limited to) the following: Requirements & Architecture Stakeholder management and collaborating with other domains Stakeholder management and collaborating with other domains Linking architecture to requirements and/or implementation Methods to address the intertwining of specification and design Sustainability, ethics, business, financial, and managerial aspects of software architecture Architecture Design Model-driven architecture Component-based software engineering Architecture frameworks and architecture description languages Reusable architectural solutions & architecture knowledge management Cloud-native Computing & Architecture Microservices & containerization Serverless platforms & novel forms of virtualization (WASM, MicroVMs, etc.) Event-driven architectures Observability & Distributed Tracing Architecture Evaluation Evaluating quality aspects (e.g., security, performance, reliability, evolvability) AI/ML techniques for architecture Architecture conformance checking Lightweight evaluation methods Architecture & Life-cycle Automatic extraction and generation of software architecture descriptions Architecture & continuous integration/delivery, and DevOps Refactoring and evolving architecture design decisions and solutions Agile architecting, continuous architecting, and other approaches to architecting Architecture & Architects Roles and responsibilities for software architects Training, soft skills, coaching, mentoring, education, and certification Architecture for equality, diversity and inclusion State-of-the-art and state-of-practice in software architecture Architecture for specific types of systems, such as: Edge / Fog / Internet of Things (IoT) systems / IoB systems AI / ML systems & systems using blockchains Cyber-physical systems Self-adaptive & autonomous systems Architecture & Generative AI: Design assistance & identification of architectural patterns Decision making support, comparing technologies, evaluating trade-offs Generating source code to facilitate implementing architecture designs Reviewing designs, identifying inconsistencies, and suggesting improvements