A modern vehicle, be it a car, train, or airplane, is a complex SW system where thousands, even millions, of signals interact and exchange instant communication. For instance, a modern car has over 100 ECUs, with an ever-increasing computational power, producing more than 10 million interconnections. This complexity makes it extremely difficult to efficiently develop and upgrade these systems, create and maintain the needed documentation, as well as comply with the demands of legislations. We will discuss how a digital twin on the signal level approach can be the solution to this problem by making interdependencies clearly visible based on the “truth”: the software source code, while maximizing the level of automation.
In this session, you will get a better understanding about:
- How to master software complexity, by compiling a Digital Twin on a signal level which allows you to filter, visualize and extract your data
- How to synthesize base architecture on a signal level, by generating an interdependency signal matrix based on a complete Software stack
- How to improve and ensure a consistent quality for your “Over-the-Air” updates, by analyzing version-based delta data sets.
- How to save time and reduce costs on development and testing, by understanding the impact of Software changes on correcting inconsistencies at an early stage
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