Five software development challenges in automotive and how AI is addressing them
We’ve spoken with six leaders in modern automotive software development about the challenges they face and identified five use cases where new tools imbued with artificial intelligence capabilities will be able to drive efficiencies:
Can defining the initial architecture of a complex automotive software system be streamlined?
Are there tools to help maintain ASPICE certification in an agile CI/CD development environment?
Is it possible to visualize the dependencies and relationships between the many different software sub-systems in the vehicle and the effects caused by changes?
How can test coverage be maintained without losing control of the amount of tests required?
What innovations can be brought to the tools and processes to drive efficiencies throughout the software development process?