Watch this webinar recording to learn more about collaboration, traceability & transparency, iterative development, and change management in the development of complex safety systems!
In recent years, the amount of embedded software in automobiles has grown exponentially. At the same time, technologies such as Artificial Intelligence, Machine Learning, connectivity to the 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.
While complete (Level 5), driverless vehicle autonomy is still well down the road, new ADAS technologies continue to enable higher levels of autonomy. 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 ISO 26262 ASIL levels, requiring more rigorous development, testing, and safety and security assurance processes.
The combination of the growth of embedded software and the 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
In this webinar recording, we explore these areas of improvement, explain why they are important, and show how they can accelerate delivery and compliance of ADAS systems and software.