Intelligent automotive electronics significantly improved driving safety in the last decades. With the increasing complexity of automotive systems, dependability of the electronic components themselves and of their interaction must be assured to avoid any risk to driving safety due to unexpected failures caused by internal or external faults.Additionally, Virtual Prototypes (VPs) have been accepted in many areas of system development processes in the automotive industry as platforms for SW development, verification, and design space exploration. We believe that VPs will significantly contribute to the analysis of safety conditions for automotive electronics. This paper shows the advantages of such a methodology based on today's industrial needs, presents the current state of the art in this field, and outlines upcoming research challenges that need to be addressed to make this vision a reality.

Safety-critical automotive systems must ful ll hard real-time constraints for reliability and safety. This paper presents a case study for the application of an AUTOSARbased language for timing modeling and analysis. We present and apply the Timing Augmented Description Language (TADL) and demonstrate a methodology for the development of a speedadaptive steer-by-wire system. We examine the impact of TADL and the methodology on the development process and the suitability and interoperability of the applied tools with respect to the AUTOSAR-based tool chain in the context of our case study.

No abstract

The IEEE-1800 SystemVerilog [20] system description and verification language integrates dedicated verification features, like constraint random stimulus generation and functional coverage, which are the building blocks of the Universal Verification Methodology (UVM) [3], the emerging standard for electronic systems verification. In this article, we introduce our System Verification Methodology (SVM) as a SystemC library for advanced Transaction Level Modeling (TLM) testbench implementation. As such, we first present SystemC libraries for the support of verification features like functional coverage and constrained random stimulus generation. Thereafter, we introduce the SVM with advanced TLM support based on SystemC and compare it to UVM and related approaches. Finally, we demonstrate the application of our SVM by means of a testbench for a two wheel self-balancing electric vehicle.

No abstract