Abstract With the advent of software‐defined vehicles (SDVs) such as self‐driving cars and battery electric vehicles (BEVs), the automotive industry faces the most drastic change over the last hundred (100) years. Over‐the‐Air (OTA) updates at high frequencies are expected to enhance SDVs' functionality and the connected car concept aims to create a new value by allowing cars to communicate with their external environment. On the other hand, the complexity of these systems is significantly increasing due to the number of software and the connected car concept required. To ensure the quality and enhance the agility of the SDV development, many automotive manufacturers have tried to introduce Model‐Based Systems Engineering (MBSE) and Agile development approaches concurrently, but achieving a balance between these two approaches is a challenge. This paper proposes the methodology and practices to combine MBSE and Agile development by connecting models and simulation to verification planning seamlessly. We use the Systems Modeling Language (SysML) to model and analyze the requirements, logical architecture, test cases, and the System Architecture models to capture engineering information that reflects verification planning and actual verification. Since the requirements and needed verifications evolve continuously in Agile development, the proposed approach can ensure that the requirements, design, and test cases are updated alongside each iteration without sacrificing agility. The proposed approach allows high‐level reuse of models and simulation to contribute to verification planning to achieve quality while maintaining focus on agility.
Hashimoto et al. (Tue,) studied this question.