Modern systems are growing in complexity and size, and the frequent use of unreliable networks and off-the-shelf components is modifying the way systems are conceived and designed. System architectures and interactions between components are not static, but can change at run-time either for planned or unplanned events; in general, the environment is dynamic and uncertain.

Even systems on which the nowadays society depends are increasingly subject to changes during their lifetime, especially infrastructures that are meant to be in place for several years. Short-term changes, frequent and with immediate effect in terms of offered services, built-in structure, and interactions with other entities, are referred to as system dynamicity. Long-term changes, in terms of functions added or modified, to adapt to new standards and regulations, are referred to as system evolution. Adaptivity is a key feature to deal with dynamicity and evolution. In response to their perception of the environment and the system itself, systems should be capable of adjusting their structure and behavior in a predictable manner.

However, many of such systems are safety-critical, or have strong performance or dependability requirements. This poses new challenges in the development of adaptation techniques, as the outcomes of adaptation must not violate dependability and safety requirements. New approaches are needed both at design time – to handle system complexity, document adaptation facilities, and keep track of relevant information – as well as at run-time – to evaluate adaptation alternatives, improve the perception of the system and environment, and document the occurring adaptation. Furthermore, adaptation should address changes occurring during systems’ lifetime by both perspectives: dynamicity and evolution.

This workshop will provide researchers and practitioners with a forum to exchange ideas and experiences, analyze research & development issues, discuss promising solutions, and propose new directions in the field of achieving dependability in adaptive systems. In this edition, we focus on the theme of adaptation to face dynamicity and evolution in dependable complex systems.