As the transition towards software-defined vehicles (SDVs) accelerates, manufacturers are consolidating functions onto increasingly powerful compute platforms. Systems that were once isolated are now integrated, and software lifecycles are extended through over-the-air updates. Features that previously existed within the boundaries of individual ECUs now interact across domains, delivering architectures that are more capable, but also significantly more complex to reason about. System behaviour is now increasingly shaped by interactions between concurrently executing components, communication pathways and timing relationships that are difficult to fully understand through static analysis or conventional testing alone.
The limits of conventional validation
Automotive development has long relied on a rigorous combination of unit testing, integration testing, simulation and hardware-in-the-loop validation. These techniques remain fundamental to delivering reliable software and are more important than ever in safety-critical environments – not least because standards such as ISO 26262 and process frameworks like Automotive SPICE formalise them within structured development lifecycles. However, the growth of software complexity presents a practical challenge that standards compliance alone can’t fully address.
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