To the best of our knowledge the only existing quantitative spatio-temporal model checking approach is described in [ 65] for reasoning about uncertainty in epidemiological models.
Probabilistic model checking approaches are employed for the formal validation of systems which exhibit stochastic behaviour and can be either exhaustive or approximate.
In this article, we compare three reference rule checking approaches that have been reported earlier for semantic rule checking in the domain of architecture, engineering and construction (AEC).
This paper presents a comprehensive safety engineering approach based on STPA, including software testing and model checking approaches for the purpose of developing safe software.
In [2 4, 13, 14, 39], the authors propose model checking based approaches for reliable smart environments.
The purpose of this survey, based on available software that supports the validation of building model data for these three types of interoperability issues, is to integrate diverse checking approaches, as a basis for improving what are now widely distributed efforts.
We propose a simple application level check pointing approach for finding the differential dump that is records modified after a time stamp.
After filtering of false-positive sites by the consistency check approach and accounting for possible operon structures, we combined the final list of predicted members of the Zur regulons in the analyzed genomes of actinobacteria (see additional file 1) (Fig. 4A).
This might either be the case for the saturation technique (described below), or if the problem can be encoded without a guess & check approach (e.g. for grounded semantics).
Obviously, this leads to less robust strategies (the strategies leading to higher BER) for the Syndrome check approach, but when examining strategies having comparable BER, Syndrome check is superior for what concerns the rate.
