Conference Information

ICSA 2027: IEEE International Conference on Software Architecture

Submission Date:
2026-10-30 Closed
Notification Date:
2026-12-15
Conference Date:
2027-03-08
Location:
Sydney, Australia
Years:
24
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CCF: C   ICORE: A   QUALIS: B1   Viewed: 75665   Tracked: 50   Attend: 21
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Conference Partner Index (CP-I)

79.0 / 100
Ranked #219 of 5,771 conferences · Top 4%

#30 of 249 in Software Engineering

Academic recognition (35%)
88
Submission selectivity (20%)
70
Editions held (20%)
87
Community attention (10%)
70
Public record completeness (15%)
65

Inputs used: Listed as CCF C, ICORE A, QUALIS B1 · Acceptance rate: 36.5% (mean of 3 editions on file) · Editions on record: 24 · Researchers following it here: 50 · Researchers who opened this page in the past 24 months: 74

Missing from the public record: Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-11-11

Researchers at these institutions track this conference

East China Normal University 7
Southwest University 4

Based on the institution researchers enter on their own profiles. We do not verify it.

Call For Papers

ICSA 2027 (IEEE International Conference on Software Architecture) is a CCF C / ICORE A / QUALIS B1 conference held in Sydney, Australia on 2027-03-08. The paper submission deadline is 2026-10-30. Acceptance notifications are sent on 2026-12-15.

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
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 36.5% over 3 years (2001–2008).

YearSubmittedAcceptedAccepted(%)
2008661827.3%
2004823643.9%
2001471838.3%

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