Automated Derivation of Configurations for the Integration of Software(+) Engineering Environments
Today's systems integration technologies enable the integration of (software+) engineering environments to support engineering processes across domain and tool boundaries. These engineering processes heavily rely on manual configuration of integration frameworks, resulting in costly, time-consuming, and error-prone human work. In this paper, the authors introduce an extended model-driven approach for the automated derivation of integration technology configurations for supporting engineering processes. This allows both an efficient and effective derivation of initial configurations, as well as easy adaptations of existing configurations in case of changed engineering processes.