Software systems dealing with distributed applications in changing environments normally
require human supervision to continue operation in all conditions. These (re-) configuring …

Recently, we have been witnessing a rapid increase in the use of machine learning
techniques in self-adaptive systems. Machine learning has been used for a variety of …

The goal of this roadmap paper is to summarize the state-of-the-art and identify research
challenges when develo**, deploying and managing self-adaptive software systems …

The complexity of information systems is increasing in recent years, leading to increased
effort for maintenance and configuration. Self-adaptive systems (SASs) address this issue …

Modern software systems are expected to operate under uncertain conditions, without
interruption. Possible causes of uncertainties include changes in the operational …

Self-adaptation is typically realized using a control loop. One prominent approach for
organizing a control loop in self-adaptive systems is by means of four components that are …

Today's society increasingly depends on software systems deployed in large companies,
banks, airports, and so on. These systems must be available 24/7 and continuously adapt to …

As technologies rapidly progress, there is growing evidence that our civil infrastructure do
not have the capacity to adaptively and reliably deliver services in the face of rapid changes …

Self-adaptive software is capable of evaluating and changing its own behavior, whenever
the evaluation shows that the software is not accomplishing what it was intended to do, or …

The ever-growing complexity of software systems coupled with their stringent availability
requirements are challenging the manual management of software after its deployment. This …