Developing Predictable Embedded Systems in the Vehicle Industry: Results and Lessons Learned

Abstract

This paper discusses the results achieved in a technology-transfer project in the vehicle domain. The results extend the state-of-the art and practice in the area of model-driven development and execution of predictable vehicular embedded systems by developing new techniques, implementing them in the existing industrial tools and validating them using industrial use cases and prototype demonstrators. In this context, the paper also discusses some important lessons learned and open challenges.