Probabilistic Model Checking
Probability is an important component in the design and analysis of complex systems across a broad spectrum of application
domains, including communication and multimedia protocols, randomised distributed algorithms, security protocols, dynamic
power management and biological systems. Probabilistic model checking is a formal verification technique for the modelling
and analysis of such systems. It provides efficient and rigorous methods for evaluating a wide range of quantitative properties,
from performance and reliability to security and anonymity.
Our work on probabilistic model checking involves:
- design and implementation of efficient tools and techniques, including the development of the state-of-the-art probabilistic model checker PRISM;
- development of the underlying formalisms, theory and algorithms, including for example abstraction techniques, process calculi and probabilistic timed automata;
- application of the techniques to real-world case studies, for example to the domains of ubiquitous and pervasive computing, to adaptive systems and to biological modelling.
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Automated quantitative software verification with PRISM | PRISMATIC | Ubiquitous Computing | UbiVal |
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