The schedulability analysis of Controller Area Network (CAN) developed by the research community is able to compute the response times of CAN messages that are queued for transmission periodically or sporadically. However, there are a few high-level protocols for CAN such as CANopen and Hägglunds Controller Area Network (HCAN) that support the transmission of mixed messages as well. A mixed message can be queued for transmission both periodically and sporadically. Thus, it does not exhibit a periodic activation pattern. The existing analysis of CAN does not support the analysis of mixed messages. We extend the existing analysis to compute the response times of mixed messages. The extended analysis is generally applicable to any high level protocol for CAN that uses any combination of periodic, event and mixed (periodic/ event) transmission of messages.

In this paper we discuss the implementation of the state-of-theart end-to-end response-time and delay analysis as two individual plug-ins for the existing industrial tool suite Rubus-ICE. The tool suite is used for the development of software for vehicular embedded systems by several international companies. We describe and solve the problems encountered and highlight the experiences gained during the process of implementation, integration and evaluation of the analysis plug-ins. Finally, we provide a proof of concept by modeling the automotive-application case study with the existing industrial model (the Rubus Component Model), and analyzing it with the implemented analysis plug-ins.

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Modern cars consist of a number of complex embedded and networked systems with steadily increasing requirements in terms of processing and communication resources. Novel automotive applications, such as automated driving, rise new needs and novel design challenges that cover a broad range of hardware/software engineering aspects. In this context, this paper provides an overview of the current technological challenges in onboard and networked automotive systems. This paper encompasses both the state-of-theart design strategies and the upcoming hardware/software solutions for the next generation of automotive systems, with a special focus on embedded and networked technologies. In particular, this paper surveys current solutions and future trends on models and languages for automotive software development, on-board computational platforms, in-car network architectures and communication protocols, and novel design strategies for cybersecurity and functional safety.

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