Architecture Governance for Automotive
Govern the architecture of connected vehicles, ADAS systems, and automotive software platforms
The Automotive Challenge
Modern vehicles contain more software than a commercial aircraft. Connected vehicle platforms, advanced driver-assistance systems (ADAS), infotainment systems, and over-the-air update infrastructure create an automotive software ecosystem of extraordinary complexity. Architectural failures in safety-critical automotive software can result in vehicle recalls, regulatory action, and physical harm — making structural governance a safety requirement, not just an engineering best practice.
Compliance & Regulatory
Key Capabilities
Safety-Critical Dependency Analysis
Map the dependency graph of ASIL-rated software components. Identify coupling between safety-critical and non-safety-critical code that violates freedom from interference requirements.
OTA Update Pipeline Assessment
Analyze the architecture of over-the-air update systems — package creation, signing, distribution, installation, rollback. Identify SPOFs that could brick vehicles at scale during a failed update.
ISO 26262 Architectural Evidence
Map architectural findings to ISO 26262 requirements for software architectural design — freedom from interference, fault tolerance, and diagnostic coverage.
ECU Software Dependency Mapping
Map cross-ECU software dependencies in connected vehicle platforms. Identify architectural coupling between ECU software modules that creates cascading failure risk.
Why Automotive Teams Choose Axiom Refract
- Automotive software recalls cost manufacturers hundreds of millions of dollars — architectural governance prevents the structural defects that cause recalls
- ISO 26262 and UNECE WP.29 require documented architectural evidence for safety-critical vehicle software — automated generation reduces compliance cost
- The transition from hardware-defined to software-defined vehicles creates new architectural complexity — governance prevents the coupling that undermines platform scalability