Meet the QA Challenges of In-Car Digital Technology.

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Keep pace with connected cars.

Play and manage music. Get directions to sushi. Send and receive texts. Call your mom. Stream a movie to the kids in the back seat. Globally, the automotive display market is on track to reach $11.6 billion in 2017 alone. As consumers demand more, exciting options from in-vehicle technology, teams need to test increasingly complex software—not to mention the next wave of systems for design and manufacturing.

And while autonomous vehicles (aka self-driving cars) are just starting their evolution, it won’t be long before drivers are completely out of the loop. That is, if testing can keep up. Right now, traditional, manual testing methods can’t handle the sheer connectivity inherent in today’s vehicles, or effectively test, monitor, and analyze the critical control software associated with tomorrow’s self-driving cars.

To truly test the entire autonomous vehicle experience, forward-thinking companies are exploring ways to apply artificial intelligence (AI)—not just to the self-driving capability but to the technology testing the in-vehicle systems. Yet that involves making significant investments in innovation on top of testing the next wave of systems to meet driver expectations for the latest and greatest technology.

We know what you're up against.

Platform challenges.

Windows Embedded Automotive 7, Linux, QNX, and Android seem to be the platforms of choice in automotive testing right now. Without a set standard in the market, how dynamic are your test automation tools to handle the often huge amounts of OS customization?

Connectivity testing.

When it comes to connected cars, you have to test the connectivity associated with the in-vehicle user experience as well as the car’s ability to communicate with nearby vehicles and infrastructures. Do you have a testing strategy that can evolve as new, autonomous vehicle technology emerges and matures?

Safety and privacy concerns.

Ensuring driver and vehicle safety will always be a top priority. But in-vehicle technology also presents the challenge to protect drivers’ personal data from getting into the wrong hands. Can you quickly roll out security patches and effectively secure systems against hackers and cyberattacks?

Access to skilled resources

Developers and testers with expertise in areas like cybersecurity and AI will be essential to compete when autonomous vehicles become mainstream. How will you empower your teams—especially those with varying skill levels—to test productively and efficiently?

Steer your automotive testing in the right direction with Eggplant solutions.

The Eggplant Digital Automation Intelligence Suite of solutions enables end-to-end test automation to help you rapidly deliver new, in-car technology features, test the full user experience, and evolve testing as the next generation of autonomous vehicle technology emerges.

Incorporate scriptless testing.

Play to the strengths of your teams with scriptless test creation and record and playback features that offer a different automation approach, while preserving your manual workflow.

Keep up with the pace of DevOps.

Use highly productive, robust, low-maintenance scripting that’s four to seven times faster than other automation tools.

Future-proof your testing.

Test any technology—including National Instruments software—using technology-independent UI automation testing that’s well-suited to test future iterations of autonomous vehicle technology.

Integrate with existing automotive tools.

Perform end-to-end testing of the CAN bus, in-vehicle display, and connected cloud services via easy integrations with National Instruments LabVIEW and Vector CANoe.

"With Eggplant, we were able to reduce our test cycle from 40 man hours to 5 hours overnight in a few months."


Martin Sutcliffe
Head of system testing

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