Program synthesis is the mechanized construction of software, dubbed 'self-writing code'.
Synthesis tools relieve the programmer from thinking about how the problem is to be solved; …

Dependency on the correct operation of embedded systems is rapidly growing, mainly due
to their wide range of applications. Their structures are becoming more complex and …

We present a technique for learning control Lyapunov-like functions, which are used in turn
to synthesize controllers for nonlinear dynamical systems that can stabilize the system, or …

Deploying neural networks (NNs) in low-resource domains is challenging because of their
high computing, memory, and power requirements. For this reason, NNs are often quantized …

The predictive monitoring problem asks whether a deployed system is likely to fail over the
next T seconds under some environmental conditions. This problem is of the utmost …

We present a sound and automated approach to synthesize safe digital feedback controllers
for physical plants represented as linear, time-invariant models. Models are given as …

During the last decades, model checking techniques have been applied to improve overall
system reliability, in unmanned aerial vehicle (UAV) approaches. Nonetheless, there is little …

Control-system robustness verification with respect to implementation aspects lacks
automated verification approaches for checking stability and performance of uncertain …

Successful deployment of autonomous systems in a wide range of societal applications
depends on error-free operation of the underlying signal processing and control functions …

Two known shortcomings of standard techniques in formal verification are the limited
capability to provide system-level assertions, and the scalability to large, complex models …