Call for Papers
We invite submissions of technical research papers describing original and unpublished results on software engineering for self-adaptive and self-managing systems, across the broad spectrum of topics of interest listed below. SEAMS 2027 will use a single-round submission system for the Research Track, with the possibility of submitting a revised version. Accepted papers will be published in the IEEE and ACM digital libraries. In addition, authors of distinguished papers will be invited to submit revised and extended versions of their work to a dedicated Special Issue of ACM Transactions on Autonomous and Adaptive Systems (TAAS).
Background
SEAMS is an ICORE-A ranked conference that applies software engineering methods, techniques, processes, and tools to support the construction of self-adaptive, self-managing, and autonomous systems that provide self-* properties such as self-configuration, self-healing, self-optimization, and self-protection.
SEAMS brings together researchers and practitioners from academia and industry to investigate, discuss, and advance the fundamental principles, state-of-the-art methods, and practical solutions for engineering self-adaptive and self-managing systems. The conference addresses both long-standing challenges, such as uncertainty, assurance, runtime decision-making, and feedback-loop engineering, and emerging challenges raised by AI-enabled software, foundation models, autonomous agents, adaptive cyber-physical systems, and regulation-aware deployment.
Topics of Interest
We welcome research contributions to all topics related to engineering self-adaptive and self-managing systems, including but not limited to:
- Foundational concepts for self-adaptive and self-managing systems
- Self-* properties, including self-configuration, self-healing, self-optimization, and self-protection
- Uncertainty, partial knowledge, and runtime decision-making for software-intensive systems
- Runtime models, variability, and feedback-loop engineering
- MAPE-K and novel adaptation architectures
- Mixed-initiative systems, human-in-the-loop, human-on-the-loop, and human-AI teaming
- Socio-technical, ethical, legal, and governance challenges
- AI, machine learning, and foundation-model-enabled self-adaptation
- LLM-based, agentic, and multi-agent self-adaptive systems
- Adaptive prompt engineering and retrieval-augmented adaptation
- Automatic synthesis techniques
- Control theory and reinforcement learning for adaptation
- Simulation, digital twins, and predictive analysis for proactive runtime adaptation
- Human-centered software development and explainability
- Requirements engineering for adaptive and autonomous systems
- Security, privacy, cyber-resilience, and adversary-aware adaptation
- Architecture, design, and coordination of adaptive systems
- Testing, verification, validation, certification, and runtime assurance
- Adaptive safety cases and continuous assurance
- Evolution, reuse, maintenance, and self-evolution
- Processes, methodologies, and DevOps for self-adaptive systems
- Self-adaptation for software engineering, including adaptive development tools and self-healing software pipelines
- Formal methods for self-* systems
- Domain-specific languages and programming language support
- Sustainability-aware, energy-aware, carbon-aware, and resource-aware adaptation
Application areas and domains include but are not limited to Internet of Things, cyber-physical systems, cloud/fog/edge/mobile computing, edge-cloud continuum systems, bioengineering, quantum computing, robotics, smart environments, smart user interfaces, augmented/mixed reality, web/service-based applications, automotive systems, autonomous vehicles, smart cities, and critical infrastructure.
We welcome contributions from both academic and industrial perspectives, including papers that advance foundational methods, report practical experiences, present lessons learned from real-world deployments, or identify open challenges arising from industrial practice.
Types of Papers
We solicit the following four types of papers:
Full research papers 10 pages of content + 2 pages of references: Papers offering novel and mature research contributions, including experiences gained from applying or evaluating research results in practice.
Short papers 4 pages of content + 1 page of references: Papers presenting ongoing research, new research ideas, or preliminary results without a mature evaluation.
Industry papers 4 pages of content + 1 page of references: Papers describing industrial experiences, lessons learned, deployment challenges, technology transfer efforts, or emerging opportunities in the engineering of self-adaptive and self-managing systems in industry. Industry track submissions will be evaluated primarily on their practical relevance, credibility, and potential to inform both practitioners and researchers.
For additional information on how to submit papers to SEAMS 2027, please see the Submission section. Besides research papers, the SEAMS organizers encourage the submission of artifacts. Artifacts can be associated with research papers, or they can be standalone contributions. For both options, artifacts should be submitted to the artifact track.
Review Criteria
Each paper submitted to the Research Track will be reviewed by at least three PC members.
The review criteria below should guide authors when preparing their submissions and will be taken into account during review. Each paper type has its own review criteria, presented in order of relevance.
Full Research Papers
- Novelty: Is the proposal sufficiently novel with respect to the state of the art? Do the authors discuss related work and clearly identify the gaps their contribution aims to fill?
- Relevance: What is the significance and potential impact of the research on the SEAMS community?
- Soundness: Do the authors present a convincing research methodology? Do they discuss the limitations and risks of their work? Do they provide convincing evaluation, evidence, or argumentation for their claims?
- Presentation: Is the paper clearly presented? To what extent can the content be understood by the SEAMS audience?
- Verifiability: Does the paper include sufficient information to understand how the proposed approach works and how data was obtained, analyzed, and interpreted? Does the paper support independent verification or replication of its claimed contributions?
Short Papers
- Novelty: Is the proposal sufficiently novel with respect to the state of the art? Do the authors discuss related work and clearly identify the gaps their contribution aims to fill?
- Soundness of the research plan: Do the authors present a convincing research plan? Do they discuss the limitations and risks of the plan? Does the plan refer to sound research methods? Do the authors clarify their research questions, planned data collection, and data analysis? Do they provide a convincing proof of concept or preliminary research steps?
- Presentation: Is the paper clearly presented? To what extent can the content be understood by the SEAMS audience?
Industry Papers
- Practical Relevance: Does the paper address a significant challenge, opportunity, or experience related to self-adaptive and self-managing systems in an industrial setting? Are the reported lessons, practices, or solutions relevant and useful to practitioners?
- Credibility: Are the claims and conclusions supported by convincing evidence from industrial practice? Is the context described sufficiently to understand the applicability of the results? Are limitations, trade-offs, and challenges discussed transparently?
- Potential to Inform Practice and Research: Does the paper provide insights, lessons learned, or experiences that can inform both practitioners and researchers in the SEAMS community? Does it identify challenges, opportunities, or directions that may influence future practice or research?
- Presentation: Is the paper clearly presented? To what extent can the content of the paper be understood by the SEAMS audience?
Software and Data Artifact Availability
Authors of accepted papers will have the opportunity to increase the visibility of their artifacts, including software, data, benchmarks, models, and experimental material, and to obtain an artifact badge. Submitted artifacts will be evaluated by an artifact committee that determines their sustained availability, reusability, and potential to support reproducibility or future research.