Runtime Adaptability Through Automated Model Evolution

Dynamically adaptive systems propose adaptation by means of variants that are specified in the system model at design time and allow for a fixed set of different run-time configurations. However, in a dynamic environment, unanticipated changes may result in the inability of the system to meet its quality requirements. To allow the system to react to these changes the authors propose a solution for automatically evolving the system model by integrating new variants and periodically validating existing ones based on updated quality parameters. To illustrate their approach they present a BPEL based framework using a service composition model to represent the system functional requirements.