By engaging in research and development projects, we expand our knowledge, contribute to the scientific discourse and gain new insights and inspirations that advance our mission – To create solutions for the unique challenges of developing embedded Software. Our work has been repeatedly honoured by the foundation Stifterverband für die Deutsche Wissenschaft. The acquired knowledge and scientific results directly benefit our customers by optimizing the quality of our products and services.
EmbeddedSafeSec lays the foundations for future-proof safety and security co-engineering. The project aims to develop a framework and an integrated methodology for ensuring safety and security in the development of critical embedded systems.
The project is trying to develop new test methods for the development of AI-based systems. It aims to develop test procedures and methods for the safeguarding and certification of AI-based technologies for safety-critical applications in railroad technology.
The project aims to develop a fast, mobile and reliable method for the detection of pathogens and to make it available as a PoC (Point of Care) application. This should provide physicians with important information for diagnosis and therapy. The project aims to identify Leptospira bacteria. In a first step the existence of the pathogen is confirmed by detecting specific antibodies. The pathogen is then tested for possible resistance to antibiotics.
In the research project DeepTest a new testing stragtegy for embedded systems based on the concept of machine learning shall be designed, implemented and evaluated. This testing strategy uses methods of machine learning to generate testinput data and to identify patterns in system behavior in order to determine the expected behavior of the testobject and to evaluate the test.