Luxoft LuxTrace delivers 10x improvement in automotive trace timing analysis

March 27, 2018 Brandon Lewis

MUNICH, GERMANY. Luxoft has announced LuxTrace, a web-based version of the TraceAnalyzer 4.0 timing analysis tool for electronic control units (ECUs), controllers, processors, buses, and networks. According to Luxoft, LuxTrace performs large traces up to 10x faster than previous versions, and can be operated by multiple users simultaneously thanks to a centralized server configuration available from the company.

LuxTrace allows engineers to visualize system timing and formulate their requirements using test case-centric representations. The Python-based tool can be integrated into continuous integration workflows and automatically test complex timing requirements, with a database-backed repository for housing trace data. Test reports are available in the browser or in user-specified formats.

The tool also provides simple templates for general tests cases.

“With autonomous cars around the corner, the need for more accurate and faster real-time software testing has never been more critical,” says Dr. Marek Jersak, Director of Autonomous Drive, Luxoft. “For an engineer, understanding system timing and performance is fundamental to designing and verifying real-time systems. [With LuxTrace] it is now easier to specify timing requirements, while the accuracy of timing measurements has also improved. The ability to perform analyses 10x faster will accelerate the development of driverless projects and ultimately help develop smoother driving experiences.”

For more information on LuxTrace, visit


About the Author

Brandon Lewis

Brandon Lewis, Editor-in-Chief of Embedded Computing Design, is responsible for guiding the property's content strategy, editorial direction, and engineering community engagement, which includes IoT Design, Automotive Embedded Systems, the Power Page, Industrial AI & Machine Learning, and other publications. As an experienced technical journalist, editor, and reporter with an aptitude for identifying key technologies, products, and market trends in the embedded technology sector, he enjoys covering topics that range from development kits and tools to cyber security and technology business models. Brandon received a BA in English Literature from Arizona State University, where he graduated cum laude. He can be reached by email at

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