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Today, many leading automotive OEMs and Suppliers are adopting Model-Based Design for the development of embedded systems applications. In this paper, the authors review the challenges of performing configuration management that is adequate for use in a production environment of the models and associated files central to Model-Based Design.

Model-Based Design is no longer limited to R&D and pilot programs; it is frequently used for production programs at automotive companies around the world. The demands of production programs drive an even greater need for tools and practices that enable automation and rigor in the area of verification, validation, and test. Without these tools and practices, achieving the quality demanded by the automotive market is not possible. This paper presents best practices in verification, validation, and test that are applicable to any program, but are critical when applying Model-Based Design in production programs.

To provide customers with the latest features, new passenger cars can have more than 50 microprocessors. With this increasing electronic complexity, the process by which the requirements are captured, a design evolves and is verified, becomes increasing critical to the overall success of the design. In this paper, the authors demonstrate how using Model-Based Design with a Systems Engineering approach can address some common failure modes that arise during the traditional automotive design process.