PV3 ⊧ Premise: Predictive Monitoring with Imprecise Sensorscomputes the probability of a user-specified risk in a Markov decision process
Application domain/field
- Monitoring
- Cyber-physical systems
- Markov decision process (MDP)
- Probabilistic model checking
- Runtime verification
- Runtime monitoring
Expected input
- Markov Devision Process (MDP)
- State risk, e.g. the probability that the plane will crash into a vehicle within a given number of steps.
Format:
- Markov Decision Process:
.nm
file, extended dialect of the PRISM language - State risk: PCTL (probabilistic CTL) formula, passed as an argument when calling Premise
Expected output
- File with some model-related statistics
.csv
file for each trace, containing the calculated risk for that trace.