An evaluation framework for energy aware buildings using statistical model checking

Checking Strong Specifications Using an Extensible Software Model Checking Framework

The use of assertions to express correctness properties of programs is growing in practice. Assertions provide a form of checkable redundancy that can be very effective in finding defects in programs and in guiding developers to the cause of a defect. A wide variety of assertion languages and associated validation techniques have been developed, but run-time monitoring is commonly thought to be...

A New Model for Text Coherence Evaluation using Statistical Characteristics

Using Statistical Model Checking for Measuring Systems

State spaces represent the way a system evolves through its different possible executions. Automatic verification techniques are used to check whether the system satisfies certain properties, expressed using automata or logic-based formalisms. This provides a Boolean indication of the system’s fitness. It is sometimes desirable to obtain other indications, measuring e.g., duration, energy or pr...

Statistical Model Checking: An Overview

Quantitative properties of stochastic systems are usually specified in logics that allow one to compare the measure of executions satisfying certain temporal properties with thresholds. The model checking problem for stochastic systems with respect to such logics is typically solved by a numerical approach [31,8,35,22,21,5] that iteratively computes (or approximates) the exact measure of paths ...

Extrapolation of an Optimal Policy using Statistical Probabilistic Model Checking

We show how to extrapolate an optimal policy controlling a model, which is itself too large to find the policy directly using probabilistic model checking (PMC). In particular, we look for a global optimal resolution of non–determinism in several small Markov Decision Processes (MDP) using PMC. We then use the resolution to find a respective set of decision boundaries representing the optimal p...