AbstractWe present a technique to tackle the parameterised probabilistic model checking problem for a particular class of randomised distributed systems, which we model as Markov Decision Processes. These systems, termed degenerative, have the property that a model of a system with some communication graph will eventually behave like a model of a system with a reduced graph. We describe an induction schema for reasoning about models of a degenerative system over arbitrary graphs. We thereby show that a certain class of quantitative LTL properties will hold for a model of a system with any communication graph if it holds for all models of a system with some base graph. We demonstrate our technique via a case study (a randomised leader electi...
We revisit the symbolic verification of Markov chains with respect to finite horizon reachability pr...
The topic of this thesis is roughly to be classified into the formal verification of probabilistic s...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...
We present a technique to tackle the parameterised probabilistic model checking problem for a partic...
AbstractWe present a technique to tackle the parameterised probabilistic model checking problem for ...
Model checking is a powerful technique for the verification of distributed systems but is limited to...
A wide range of coordination protocols for distributed systems, internet protocols or systems with u...
Population protocols are a model for parameterized systems in which a set of identical, anonymous, f...
Randomization is a key element in sequential and distributed computing. Reasoning about randomized a...
Leader election protocols have been intensively studied in distributed computing, mostly in the stat...
Statistical Model Checking (SMC) is a computationally very efficient verification technique based on...
In this thesis, we present efficient implementation techniques for probabilistic model checking, a m...
This thesis deals with formal verification of distributed systems. Model checking is a technique for...
In this thesis, we present efficient implementation techniques for probabilistic model checking, a m...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...
We revisit the symbolic verification of Markov chains with respect to finite horizon reachability pr...
The topic of this thesis is roughly to be classified into the formal verification of probabilistic s...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...
We present a technique to tackle the parameterised probabilistic model checking problem for a partic...
AbstractWe present a technique to tackle the parameterised probabilistic model checking problem for ...
Model checking is a powerful technique for the verification of distributed systems but is limited to...
A wide range of coordination protocols for distributed systems, internet protocols or systems with u...
Population protocols are a model for parameterized systems in which a set of identical, anonymous, f...
Randomization is a key element in sequential and distributed computing. Reasoning about randomized a...
Leader election protocols have been intensively studied in distributed computing, mostly in the stat...
Statistical Model Checking (SMC) is a computationally very efficient verification technique based on...
In this thesis, we present efficient implementation techniques for probabilistic model checking, a m...
This thesis deals with formal verification of distributed systems. Model checking is a technique for...
In this thesis, we present efficient implementation techniques for probabilistic model checking, a m...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...
We revisit the symbolic verification of Markov chains with respect to finite horizon reachability pr...
The topic of this thesis is roughly to be classified into the formal verification of probabilistic s...
This tutorial provides an introduction to probabilistic model checking, a technique for automaticall...