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 24th IEEE International Conference on Software Architecture (ICSA 2027) 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.

Software engineering is undergoing a rapid transformation: AI is becoming more intimately involved with supporting software development activities, including improving developer-written code, reviewing changes, and even writing entirely new code. In such an environment, the importance of software design and architecture becomes more predominant. The theme of ICSA 2027 is The Enduring Role of Software Architecture in an Evolving Landscape.

ICSA 2027 seeks 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 AI into software architecture or architecting AI-enacted systems. 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 researchers and practitioners for contributions that advance our understanding of architectures in real-world software systems, 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 and future systems. This conference looks at what can be learned from our software architecture history, experience, studies, and best practices.

Topics

Topics of interest for the conference include (but are not limited to) the following:

Requirements & Architecture
Stakeholder management and collaboration with other domains
Linking architecture to requirements and/or implementation
Linking architecture to spec-driven development (SDD)
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
Event-driven architectures
Observability & distributed tracing
Architecture Evaluation
Evaluating quality aspects (e.g., security, performance, reliability, evolvability)
Architecture conformance checking
Real-time architecture observability and adaptation beyond static compliance
Lightweight evaluation methods
New and emerging quality attributes, architectural tactics, and evaluation methods, including for energy consumption and environmental impact measurement and assessment
Architecture & its lifecycle
Automatic extraction and generation of software architecture descriptions
Architecture in continuous software engineering, including CI/CD and DevOps
Refactoring and evolving architecture design decisions and solutions
Agile architecting, continuous architecting, and other architectural approaches
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 copilot for supporting architects
Architecture for specific types of systems
Edge / Fog / Internet of Things (IoT) systems / IoB systems
AI / ML / LLM-based systems
Systems using blockchains
Cyber-physical systems
Self-adaptive & autonomous systems
Agent / multi-agent systems, including agentic AI systems
Architecture & Generative AI
Design assistance and identification of architectural patterns
Decision making support, comparing technologies, evaluating trade-offs
Code generation from architecture designs
Architectural design supported by generative AI
Architecture principles for AI systems