  The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a
variety of applications. However, safety assurance is a key barrier to
widespread usage, especially given the unpredictable operational and
environmental factors experienced by UAVs, which are hard to capture solely at
design-time. This paper proposes a new reliability modeling approach called
SafeDrones to help address this issue by enabling runtime reliability and risk
assessment of UAVs. It is a prototype instantiation of the Executable Digital
Dependable Identity (EDDI) concept, which aims to create a model-based solution
for real-time, data-driven dependability assurance for multi-robot systems. By
providing real-time reliability estimates, SafeDrones allows UAVs to update
their missions accordingly in an adaptive manner.
