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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.

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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

Oldenburg, Germany

Strategic Product Manager AI & Cloud

Leif Driebold is Strategic Product Manager AI & Cloud at BTC Embedded Systems (BTC ES), where he drives the company's AI and cloud strategy and supports the evolution of software-defined vehicle (SDV) engineering solutions. After studying Computer Science at the University of Applied Sciences in Bremerhaven, Leif joined BTC ES in 2018 as part of the Product Management team. His work focused on advancing automotive software engineering and exploring the practical application of artificial intelligence to improve development and testing processes. In 2023, Leif relocated to BTC Japan, where he led the Sales Engineering Department and worked closely with customers across the Japanese market. During this time, he specialized in formal specification, formal verification, and automated testing for safety-critical systems while promoting AI-driven engineering approaches. Returning to Germany in 2025, Leif assumed his current role as Strategic Product Manager AI & Cloud. His focus areas include artificial intelligence, cloud-native engineering environments, test automation, and the integration of AI technologies into safety-critical automotive development. He is particularly passionate about bridging emerging technologies with real-world industrial applications, helping organizations accelerate innovation while maintaining the highest standards of quality and safety.

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