Living lab for the transfer of digital health applications and AI into healthcare
Automatic software design for safety-critical industrial applications
Software systems in industrial manufacturing constantly face new challenges, such as those arising from Industry 4.0 and the Internet of Things (IoT) paradigm. At the same time, industrial standards for functional safety require holistic protection concepts that safeguard the entire automation solution as well as individual components and subsystems.
The SAFE4I project provides a partially automated, model-based development process to accelerate the design of functionally safe software while reducing development efforts. The solution provides a strict separation between the application-specific software functionality and the software safety measures. The provided process automatically combines these two views and generates safe software. In addition, the framework offers the potential for the realization of customer-specific automation solutions. SAFE4I is therefore a quality and cost lever for end users as well as for component and tool suppliers.
The FZI adopted the SAFE4I methodology for a UML/SysML-based design flow. This includes a tooling framework for template-based modeling of safety mechanisms, model-to-model transformations for automated integration of safety mechanisms, and generation of the final safe software.
At the heart of the methodology is the Universal Safety Format (USF), which facilitates the introduction of safety mechanisms regardless of the system specification format like source code or UML models. This enables the generalization of the specification and the integration of safety mechanisms along the design process, thereby increasing reusability as well as significantly reducing development efforts.
Division: Intelligent Systems and Production Engineering
Safety, Security and the Law
The FZI focuses in this research area on the topics of resilience for critical infrastructures, managing security, legal tech and (post-)quantum cryptography, and also deals with the mutual influence of artificial intelligence on safety and security.