Abstract: 
Over the past two decades, self-adaption has become an established field of research. A recent survey also showed that self-adaptation is widely used in industry. In essence, self-adaptation equips a computing system with a feedback loop that enables the system to deal with changes and uncertainties autonomously, reducing the burden of complex operator tasks. In this talk, I will briefly explain the basic principles of self-adaptation. Then I will argue why self-adaptation is not enough to tackle the challenges of future computing systems. To conclude I provide a vision on how a computing system may become self-evolvable, opening an exciting area for future research. 

Speaker's Bio:
Danny Weyns is professor at the Katholieke Universiteit Leuven in Belgium. He is also affiliated with Linnaeus University in Sweden. Danny’s research interests are in the engineering of self-adaptive systems with a focus on establishing trustworthiness under uncertainty. To that end, he studies approaches that integrate human-driven design time activities with system-driven runtime activities.