Monitoring in adaptive systems using reflection

Abstract

Continuous evolution is a key trait of software-intensive systems. Many research projects investigate mechanisms to adapt software systems effectively in order to ease evolution. By observing its internal state and surrounding context continuously using feedback loops, an adaptive system is able to analyze its effectiveness by evaluating quality criteria and then self-tune to improve its operations. The goals of these feedback loops range from keeping single variables in a prescribed range to satisfying non-functional requirements by regulating decentralized, interdependent subsystems.