Name
Abstract | ||
|---|---|---|
We present a verification framework for analysing multiple quantitative objectives of systems that exhibit both nondeterministic and stochastic behaviour. These systems are modelled as probabilistic automata, enriched with cost or reward structures that capture, for example, energy usage or performance metrics. Quantitative properties of these models are expressed in a specification language that incorporates probabilistic safety and liveness properties, expected total cost or reward, and supports multiple objectives of these types. We propose and implement an efficient verification framework for such properties and then present two distinct applications of it: firstly, controller synthesis subject to multiple quantitative objectives; and, secondly, quantitative compositional verification. The practical applicability of both approaches is illustrated with experimental results from several large case studies. |
Year | Venue | Keywords |
|---|---|---|
2011 | TACAS | quantitative compositional verification,quantitative multi-objective verification,total cost,multiple objective,probabilistic safety,probabilistic system,efficient verification framework,quantitative property,probabilistic automaton,verification framework,reward structure,multiple quantitative objective,probabilistic automata,specification language |
Field | DocType | Volume |
Specification language,Control theory,Nondeterministic algorithm,Computer science,Markov decision process,Disjunctive normal form,Theoretical computer science,Probabilistic logic,Probabilistic automaton,Liveness | Conference | 6605 |
ISSN | Citations | PageRank |
0302-9743 | 23 | 1.00 |
References | Authors | |
16 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vojtěch Forejt | 1 | 196 | 8.57 |
| Marta Z. Kwiatkowska | 2 | 6118 | 322.21 |
| Gethin Norman | 3 | 4163 | 193.68 |
| David Parker | 4 | 4018 | 184.00 |
| Hongyang Qu | 5 | 592 | 35.13 |