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The increasing complexity, distribution, and dynamism of many software-intensive systems, such as cloud-based, cyber-physical and mobile systems, are imposing self-managing capabilities as a key requirement. These systems must be able to adapt themselves at run-time to cope with the uncertainty associated with changes in the environment in which they operate, variability of resources, new user needs, intrusions, and faults. The goal is to preserve operation and react to changes with no (or limited) human intervention.

Solutions to complement software systems with self-managing and self-adaptive capabilities have been proposed by researchers from different areas including software architecture, fault-tolerant computing, programming languages, robotics, run-time program analysis and verification. Additionally, solutions have been proposed in related areas like biologically-inspired computing, artificial intelligence, machine learning, and control systems. This symposium focuses on applying software engineering aspects to these solutions, including methods, techniques, and tools that can be used to support the self-* properties like self-adaptation, self-management, self-healing, self-optimization, and self-configuration.

The objective is to bring together researchers and practitioners from many of these diverse areas to investigate, discuss, and examine thoroughly the fundamental principles, state of the art, and critical challenges of self-adaptive and self-managing systems.