Model-driven engineering tool comparison for architectures within heterogenic systems for Electric vehicle

Abstract

System landscapes within logistical scenarios is highly heterogenic. Adding specific mechanisms, e.g. to support planing, monitoring and analyses for fully electrical powered vehicles, could become a mess or at least a challenge. While our project Smart City Logistic (SCL) is trying to manage this extension for multiple logistic scenarios, other projects want to do comparable system extensions as well. The following approach tries to evaluate how model-driven engineering (MDE) combined with generative frameworks can support the transfer from platform independent models to deployable solutions within the logistical domain. This paper compares specific MDE tools which can be used to support such a framework.