More than a decade ago, the research topic models@ run. time was coined. Since then, the
research area has received increasing attention. Given the prolific results during these …

This paper provides a comprehensive overview and analysis of research work on how
uncertainty is currently represented in software models. The survey presents the definitions …

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 …

One of the primary drivers for self-adaptation is ensuring that systems achieve their goals
regardless of the uncertainties they face during operation. Nevertheless, the concept 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 …

Today's challenges to sustainability are explored through a complex combination of
interdisciplinary topics that explore various interactions between economic, social, and …

Context The underlying uncertainty in self-adaptive systems aggravates the complexity of
selecting best adaptation action alternative, and handling requirements trade-offs. To …

Providing assurances for self-adaptive systems is challenging. A primary underlying
problem is uncertainty that may stem from a variety of different sources, ranging from …

Ensuring that systems achieve their goals under uncertainty is a key driver for self-
adaptation. Nevertheless, the concept of uncertainty in self-adaptive systems (SAS) is still …

Research on adaptive and self-managing systems is hindered by a lack of prototypical
applications that researchers could use to evaluate and compare new methods, techniques …