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 …

Due to significant industrial demands toward software systems with increasing complexity
and challenging quality requirements, software architecture design has become an …

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 …

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 …

Building on concepts drawn from control theory, self-adaptive software handles
environmental and internal uncertainties by dynamically adjusting its architecture and …

The important concern for modern software systems is to become more cost-effective, while
being versatile, flexible, resilient, dependable, energy-efficient, customisable, configurable …

One major challenge in self-adaptive systems is to assure the required quality properties.
Formal methods provide the means to rigorously specify and reason about the behaviors of …

A self-adaptive software system modifies its behavior at runtime in response to changes
within the system or in its execution environment. The fulfillment of the system requirements …

Self-protecting software systems are a class of autonomic systems capable of detecting and
mitigating security threats at runtime. They are growing in importance, as the stovepipe static …

Modern software applications are subject to uncertain operating conditions, such as
dynamics in the availability of services and variations of system goals. Consequently …