Design

Axivion Suite for software in autonomous vehicles

20th May 2021
Alex Lynn
0

Axivion has announced that it is now helping to pave the way for autonomous driving and software-defined vehicles. Apex.AI, a company developing breakthrough safety-certified automotive software, has chosen the Axivion Suite as their preferred tool for static analysis – mainly because of its high coverage of the AUTOSAR C++ 14 standard and easy integration to Continuous Integration (CI).

Axivion Suite not only supports the development of Apex.OS, a safe, secure and reliable software communication layer for self-driving applications, and Apex.Middleware, a complete and integrated solution for both intra- and inter-ECU communication, Axivion’s tool suite also supported the certification of Apex.OS and Apex.Middleware to ISO 26262 ASIL D.

The static code analysis tool Axivion Suite convinced Apex.AI with its broad coverage of the AUTOSAR C++ 14 standard. The developers especially appreciate the tool’s ease of use and its easy integration with the cross-platform IDE CLion and the company’s Continuous Integration workflows. With Axivion Suite, they can analyse their control and data flow and easily add exceptions and suppressions to rule violations in C++. This helps the Apex.AI engineers to continuously analyse their source code in the build process and safeguard their software’s quality.

Furthermore, Axivion Suite played a vital role in the certification of Apex.OS and Apex.Middleware. Now, Apex.OS is a certified open-source operating system that has been certified by TÜV NORD to ISO 26262 ASIL D, the highest level of automotive risk management.

“We have evaluated several static analysis tools, and Axivion Suite clearly stood out in our tests,“ said Dejan Pangercic, CTO and Co-Founder CTO of Apex.AI. “The tool performed best in terms of AUTOSAR C++ 14 coverage and convinced us through its ease of use, control flow, and data flow analysis, and report generation. Axivion Suite has already become a mainstay component in our development workflow and a valuable component of our DevOps pipeline.”

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