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 …

Context: Championed by IBM's vision of autonomic computing paper in 2003, the autonomic
computing research field has seen increased research activity over the last 20 years …

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

To deal with the increasing complexity of software systems and uncertainty of their
environments, software engineers have turned to self-adaptivity. Self-adaptive systems are …

The challenges of pervasive and mobile computing environments, which are highly dynamic
and unpredictable, have motivated the development of self-adaptive software systems …

The development of self-adaptive software requires the engineering of an adaptation engine
that controls the underlying adaptable software by feedback loops. The engine often …

Self-adaptive software systems are an emerging class of systems that adjust their behavior
at runtime to achieve certain functional or quality of service objectives. The construction of …

Self-adaptability has been proposed as an effective approach to deal with the increasing
complexity, distribution, and dynamicity of modern software systems. Although noteworthy …

In this paper, we discuss how for self-adaptive systems some activities that traditionally
occur at development-time are moved to run-time. Responsibilities for these activities shift …

Software systems operating in open-ended and unpredictable environments have to
become autonomic, ie, capable of dynamically adapting their behavior in response to …