Probabilistic Abstract Interpretation is a framework for program analysis that allows us to accommodate probabilistic properties and properties of probabilistic computations. We illustrate the dual value of this framework for both deducing and inferring probabilities. More specifically we show the use of PAI for both static analysis and statistical reasoning
Abstraction is a fundamental tool for reasoning about a complex system. Program abstraction has been...
Abstract. Having a precise yet sound abstraction of the inputs of nu-merical programs is important t...
Within the context of a quantitative generalisation of the well established framework of Abstract In...
In order to perform probabilistic program analysis we need to consider probabilistic languages or la...
In order to perform probabilistic program analysis we need to consider probabilistic languages or la...
The aims of these lecture notes are two-fold: (i) we investigate the relation between the operationa...
AbstractIn this paper we show how the framework of probabilistic abstract interpretation can be appl...
We present a method for approximating the semantics of probabilistic programs to the purpose of cons...
We review Wilhelm's work on WCET for hard real-time applications and also recent work on analysis of...
We review Wilhelm’s work on WCET for hard real-time applications and also recent work on analysis of...
We show how the framework of probabilistic abstract interpretation can be applied to statically anal...
We present a formal framework for syntax directed probabilistic program analysis. Our focus is on pr...
AbstractWe present a semantics-based technique for analysing probabilistic properties of imperative ...
We present a semantics-based technique for analysing probabilistic properties of imperative programs...
AbstractWithin the context of a quantitative generalisation of the well established framework of Abs...
Abstraction is a fundamental tool for reasoning about a complex system. Program abstraction has been...
Abstract. Having a precise yet sound abstraction of the inputs of nu-merical programs is important t...
Within the context of a quantitative generalisation of the well established framework of Abstract In...
In order to perform probabilistic program analysis we need to consider probabilistic languages or la...
In order to perform probabilistic program analysis we need to consider probabilistic languages or la...
The aims of these lecture notes are two-fold: (i) we investigate the relation between the operationa...
AbstractIn this paper we show how the framework of probabilistic abstract interpretation can be appl...
We present a method for approximating the semantics of probabilistic programs to the purpose of cons...
We review Wilhelm's work on WCET for hard real-time applications and also recent work on analysis of...
We review Wilhelm’s work on WCET for hard real-time applications and also recent work on analysis of...
We show how the framework of probabilistic abstract interpretation can be applied to statically anal...
We present a formal framework for syntax directed probabilistic program analysis. Our focus is on pr...
AbstractWe present a semantics-based technique for analysing probabilistic properties of imperative ...
We present a semantics-based technique for analysing probabilistic properties of imperative programs...
AbstractWithin the context of a quantitative generalisation of the well established framework of Abs...
Abstraction is a fundamental tool for reasoning about a complex system. Program abstraction has been...
Abstract. Having a precise yet sound abstraction of the inputs of nu-merical programs is important t...
Within the context of a quantitative generalisation of the well established framework of Abstract In...
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