Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequential programs, giving access to expressions such as 'the probability that predicate A is achieved finally'. Using expectations more generally however, we can express μ-calculus formulae for the expected path-length of a computation tree. Moreover within an expectation-based μ-calculus such efficiency measures and more conventional (but probabilistic) temporal operators [14] can be related.© 1999 Elsevier B.V. All rights reserved. Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://www.elsevier.com/open-access/userlicense/1.0
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Abstract. We present static analyses for probabilistic loops using expectation in-variants. Probabil...
Abstract. We provide a HOL formalisation for analysing expected time bounds for probabilistic progra...
Probabilistic predicate transformers provide a semantics for imperative programs containing both dem...
Expectation-based probabilistic predicate transformers [15] provide a logic for probabilistic sequen...
AbstractExpectation-based probabilistic predicate transformers [15] provide a logic for probabilisti...
Predicate transformers facilitate reasoning about imperative programs, including those exhibiting de...
We interpret the modal µ-calculus over a new model [10], to give a temporal logic suitable for syste...
In this paper we revisit the well-known technique of predicate abstraction to characterise performan...
Probabilistic predicates generalize standard predicates over a state space; with probabilistic predi...
Probabilistic predicate transformers provide a semantics for imperative programs containing both dem...
Abstract. Two approaches to logic programming with probabilities emerged over time: bayesian reasoni...
We study quantitative reasoning about probabilistic programs. In doing so, we investigate two main a...
We introduce a notion of strong monotonicity of probabilistic predicate transformers. This notion en...
Probabilistic predicate transformers guarantee standard (ordinary) predicate transformers to incorpo...
AbstractIn this paper we show how quantitative program logic (Morgan et al., ACM Trans. Programming ...
Abstract. We present static analyses for probabilistic loops using expectation in-variants. Probabil...
Abstract. We provide a HOL formalisation for analysing expected time bounds for probabilistic progra...
Probabilistic predicate transformers provide a semantics for imperative programs containing both dem...