About DES Lab

Adressing the dependability of

With recent advances in Internet connectivity, network enabled devices have become a substantial part of our everyday lives, extending into areas of increasing importance and criticality.  Consequently, those systems must meet high standards with respect to dependability: Systems must be secure, safe, correct, reliable, maintainable, adaptable, and robust. However, these requirements for dependability are challenged by the growing complexity of modern embedded systems. On one hand, embedded systems are integrated into systems of systems that pool their resources and capabilities in order to offer more functionality and performance than simply the sum of its constituents. On the other hand, we face a paradigm shift towards more intelligent and highly adaptive systems where quality guarantees are hard to achieve. The opportunities seem unlimited, and yet these characteristics appear to be overwhelming in their complexity that any assurances of dependability seem out of reach.

Our answer to this problem is twofold: (1) dependable embedded systems require rigor: the complexity has to be mastered by precise abstraction techniques that enable compositional specification and verification; (2) smart embedded systems demand smart development methods: the complexity due to “intelligent” software has to be mastered by new “intelligent” and rigorous software and methods.

The Dependable Embedded Systems (DES) Lab’s research addresses this growing demand of dependability along these lines. Specifically, the DES Lab will conduct interdisciplinary research across the fields of formal methods for verification and testing, machine learning and embedded compositional software, with a special focus on safety and security.

Researching towards our

We envision a world of trustworthy intelligent systems that serve humanity. World-class fundamental research at the intersection of formal modeling, verification and testing, machine learning, as well as embedded software composition and security, will pave the way to establish the critical concept of dependability in the context of intelligent cyber-physical systems. The novel technologies emerging from the Lab’s research activities will contribute to next generations of dependable electronic-based systems enabling new opportunities without ignoring inherent limitations.

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