Abstract

AbstractCurrent automotive Industry is facing numerous challenges. Business model is transitioning from ownership to shared mobility. Mobility of the future is becoming smarter, safer, more secured and connected. Distributed interconnected automotive systems will deliver added‐value mobility services. In the meantime, industrial standards require description of systems engineering practices as well as the practices justification. Automotive SPICE (ASPICE), a standard of software development best practices for automotive industry, for example, was one of the first to support the development of system and software now include hardware and cybersecurity. Traditional systems engineering development approaches are not any more appropriate. The current automotive system complexity requires new approaches like Model‐Based Systems Engineering (MBSE), using modeling and simulation. To address compliance to industry standards, traditional quality approaches consisting of or defining a quality system with a set of processes (e.g. Requirement elicitation process, documentation process…) are no more sufficient. Addressing these challenges require a digital transformation with two pillars. The first pillar is an MBSE methodology such as Cyber MagicGrid (Dassault Systèmes MBSE method) to define a set of best practices to develop a system. The second pillar is a quality management system that relies on the MBSE methodology rather than on a set of enterprise processes to address compliance with standards. Benefits of this approach is in acceleration of the digital enterprise transformation which is achieved by capitalizing the know‐how and considering the industry standards constraints.

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