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06/09/2026 3:45 pm
TL;DR: In-car infotainment testing has shifted from basic app checks to a reliability and safety problem as vehicle software grows toward 100 million lines of code and connected experiences span phones, dashboards, and embedded systems, according to Arxan Technologies. The governance challenge is repeatable validation across device, OS, and vehicle combinations before defects become driver distraction or operational risk.
NHIMG editorial — based on content published by Arxan Technologies: What Is In-Car Infotainment Testing and Why It Matters in the Era of Software-Defined Vehicles
By the numbers:
- Modern vehicles now ship with up to 100 million lines of software code.
Questions worth separating out
Q: How should teams test infotainment software across different vehicle and device combinations?
A: Teams should test each runtime model separately, then validate the same interaction flows across device, OS, projection, and vehicle combinations.
Q: Why do infotainment bugs become harder to reproduce as vehicle software scales?
A: They become harder to reproduce because the environment changes faster than the application logic.
Q: What breaks when infotainment validation is not standardised?
A: Coverage breaks first, then confidence.
Practitioner guidance
- Define separate test matrices for each infotainment runtime model Build distinct coverage for mounted phone apps, projected interfaces, and embedded in-car runtimes so defects are traced to the correct layer instead of being blurred across the stack.
- Standardise controlled test environments before scaling automation Use a secure device farm or equivalent repeatable lab setup to reduce variation across vehicle models, OS versions, screen sizes, and projection paths.
- Put infotainment regression checks into CI/CD Run automated validation on every release so interface changes, interaction failures, and compatibility issues are caught before deployment to supported environments.
What's in the full article
Arxan Technologies' full blog post covers the operational detail this post intentionally leaves for the source:
- Step-by-step examples of how to test mounted phone, projected, and embedded infotainment experiences in practice
- Specific automation workflows for Appium-based interaction testing across Android Auto, Android Automotive, and Apple CarPlay
- Details on session logging, full-run recordings, and troubleshooting steps for repeated test failures
- How to structure CI/CD validation so infotainment regressions are caught before release
👉 Read Arxan Technologies' analysis of in-car infotainment testing in software-defined vehicles →
In-car infotainment testing: are software-defined vehicle controls keeping up?
Explore further
06/09/2026 3:46 pm
Software-defined vehicles create a validation problem that looks like a governance problem. Once infotainment is delivered through multiple execution models, teams are no longer testing a single app in a single environment. They are governing behaviour across mobile, projected, and embedded systems, which makes repeatability the real control objective. That aligns more closely with assurance disciplines than traditional feature testing, and practitioners should treat consistency across environments as a control requirement, not a convenience.
A question worth separating out:
Q: Should organisations treat infotainment testing as part of broader software assurance governance?
A: Yes. Once infotainment is tied to connected services, driver interaction, and vehicle operating systems, testing becomes part of operational assurance, not just feature QA. That means release criteria, regression evidence, and environment standardisation should be governed like other high-impact software controls. If the runtime is managed, the validation process should be managed too.
👉 Read our full editorial: In-car infotainment testing is becoming a software-defined vehicle control problem
