As almost all systems in today’s age need to adapt their behaviour to suit their environment, or even completely design their own behaviour as a feature of their own environment. Self-adaptive systems are capable of amending their behaviour at run-time to achieve certain functional or QoS goals. Such systems typically employ analytical models specified at designtime to assess their characteristics at run-time and make the appropriate adaptation decisions.
The aim of the international Workshop on Soft Computing based Data-driven Self-adaptive Systems is to foster interactions between researchers of different disciplines working on challenges about the self-adaptation of complex techno-socio-economic systems. It includes inter-disciplinary and the scientific, empirical and application dimensions of self-systems; thereby aiming to provide a platform for the participants with different backgrounds, so as to expose themselves and discuss innovative theories, design principles, frameworks, methodologies, tools, and applications. The workshop evolves around two full days and includes (i) keynote speaks, (ii) software artifacts sessions, (iii) potentially a panel discussion.