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针对Simulink模型和量产代码的测试解决方案

针对 ADAS/AD 虚拟验证的挑战

如何创建所需的数百万个方案?

如何避免测试爆炸问题?

如何确定我的测试是通过还是失败?

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针对Simulink模型和量产代码的测试解决方案

针对 ADAS/AD 虚拟验证的挑战

如何创建所需的数百万个方案?

如何避免测试爆炸问题?

如何确定我的测试是通过还是失败?

Webinar

Webinar: Big Data and Little Value? Getting more value from your test data with an automated analysis in the cloud

Wolfgang Meincke

Leif Driebold

November 20th, 10:00 CET (Berlin) / 04:00 EST (Detroit) / 14:30 IST (Bangalore) / 17:00 CST (Beijing)

November 20th, 15:00 CET (Berlin) / 09:00 EST (Detroit) / 19:30 IST (Bangalore) / 22:00 CST (Beijing)

Join our upcoming free webinar to learn how to maximize the value of test data across all phases of the V-Cycle, from early development to in-vehicle testing. Embedded software projects generate an extensive volume of test data, but how can this data be effectively leveraged to ensure that all critical scenarios are identified? Traditional requirements-based testing often focuses on individual requirements per test case, making comprehensive manual analysis impractical.

In this session, Wolfgang Meincke and Leif Driebold will introduce “Formal Test”, a state-of-the-art, highly automated approach that helps you extract maximum insights from existing test data with minimal effort. Additionally, discover a new AI-driven solution that revolutionizes the preparation of the “Formal Test” environment by automating the translation from natural language requirements to machine-readable patterns, making the process more efficient and robust than ever before.

Don’t miss this opportunity to enhance your testing strategies and leverage cutting-edge technology for superior results.

Watch the recording

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Wolfgang Meincke

Stuttgart, Germany

Senior Application Engineer
Senior Business Development Manager India

Wolfgang Meincke studied Computer Science at the University Ravensburg-Weingarten where he graduated in 2006. He then worked at EWE TEL GmbH where he was responsible for requirements engineering and project management for software development projects as well as agile software development processes. In 2014 he joined BTC as senior pilot engineer to support the customers to integrate the tools into their development processes as well as giving support and training on test methodologies regarding the ISO 26262 standard. One of his main areas of interest is the formalization of safety requirements and their verification based on formal testing and model-checking technologies for unit test, integration test and HIL real-time-testing.

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Leif Driebold

Tokyo, Japan

Manager Sales Engineering & Senior Product Manager

Leif Driebold studied computer science at the University of Applied Sciences in Bremerhaven, where he developed an early interest in artificial intelligence and its potential to transform technology. In 2018, he joined BTC ES in Oldenburg as part of the product management team, where he contributed to several projects incorporating AI-driven solutions, enhancing product capabilities, and expanding customer applications. By 2023, Leif had moved to BTC Japan to focus on developing formal specification, formal verification, and automated testing methods compliant with functional safety standards for the Japanese market, leveraging AI’s precision and efficiency in each domain. Today, as the manager of the Sales Engineering Department, he coordinates multiple AI projects, guiding innovative applications that align with evolving industry needs. His journey reflects a continuous commitment to integrating AI into practical solutions, driving advancements across diverse sectors.

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