All topics related to engineering self-adaptive and self-managing systems, including:

Foundational Concepts

• Understanding and taming uncertainty
• Runtime models and variability
• Online analysis and planning
• Consistent change of systems in operation
• Mixed-initiative and human-in-the-loop systems

Adaptation Objectives

• Self-* properties
• Automatic configuration, openness
• Adaptive security and privacy (SEAMS’18 will devote a special session on this topic)

Engineering Strategies

• Architecture and model-driven approaches
• Control theory
• Automatic synthesis techniques
• Search-based techniques and learning

Engineering Activities

• Requirements elicitation techniques
• Architecture and design techniques
• Systematic reuse (e.g., patterns, viewpoints, reference architectures, code)
• Instrumentation of legacy systems (probing and effecting)
• Processes and methodologies
• Adaptation in the context of DevOps
• Real-world demonstrators
• Controlled experiments, case studies, replication studies, surveys

Analytical Methods

• Runtime decision-making (multi-objective, multi-layered, distributed)
• Analysis and testing frameworks
• Verification and validation
• Simulation

Languages

• Formal notations for modeling and analyzing self-* properties
• Domain-specific language support for self-adaptation
• Programming language support for self-adaptation

Application Areas

• Industrial internet of things
• Cyber-physical systems
• Cloud and edge computing
• Robotics
• Smart environments
• Smart user interfaces

Artifacts

• Model problems and exemplars
• Resources including data sets, metrics, and software useful to compare self-adaptive approaches