In recent years, the amount of embedded software in automobiles has grown exponentially. At the same time, technologies such as artificial intelligence, machine learning, internet of things, and autonomous controls are being deployed to make cars ‘smarter’ while making it more challenging to ensure they are safe and secure. In particular, the global advanced driver assistance system (ADAS) market is expected to reach USD 67.43 billion by 2025, growing at a CAGR 19.0%, according to a new report by Grand View Research, Inc. Government requirements for safer vehicles combined with customer demands for increased autonomy are driving this growth. SAE J3016 defines 6 levels of autonomy, ranging from Level 0 (no automation) to Level 5 (Full Automation). While no vehicle on the road today operates at Level 5, new ADAS technologies enable higher levels of autonomy, and established technologies are being quickly introduced across all makes and models of vehicles. It should come as no surprise that ADAS systems tend to fall into the higher ISO2626 ASIL levels, requiring more rigorous development, testing, and safety and security assurance processes. The combination of the growth of embedded software and growth of safety and security requirements is putting a strain on traditional systems and software development processes and tools. Tools and processes need to be enhanced and improved to support: • Cross Discipline Collaboration • Traceability and Transparency Throughout the Development Lifecycle • Rapid Iterative Development • Insightful Impact Analysis and Change Management • Efficient and Predictable Tool Qualification During this webinar, we will explore these areas of improvement, explain why they are important, and show how they can accelerate delivery and compliance of ADAS systems and software.