The ever-growing complexity of software systems makes it increasingly challenging to
foresee at design time all interactions between a system and its environment. Most self …

Future-generation self-adaptive systems will need to be able to optimize for multiple
interrelated, difficult-to-measure, and evolving quality properties. To navigate this complex …

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

Many software systems operate in environments where change and uncertainty are the rule,
rather than exceptions. Techniques for self-adaptation allow these systems to automatically …

Architecture-based approaches to self-adaptation rely on architectural descriptions to
reason about the best way of adapting the structure and behavior of software-intensive …

To assure performance on the fly, planning is arguably one of the most important steps for
self-adaptive systems (SASs), especially when they are highly configurable with a daunting …

Self-adaptive software continually evaluates and modifies its own behavior to meet
changing demands. One of the key issues in constructing such software is that of planning …

The problem of self-optimization and adaptation in the context of customizable systems is
becoming increasingly important with the emergence of complex software systems and …

Self-adaptive software systems stand out from traditional ones in that they are able to
autonomously change their behavior and structure during their execution using one or more …

The problem of mitigating uncertainty in self-adaptation has driven much of the research
proposed in the area of software engineering for self-adaptive systems in the last decade …