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This chapter presents a model checking with abstraction method that mainly checks synchronization properties for concurrent processes.
Model checking with Spin involves reasoning about a system via an abstract Promela specification, thus the technique depends critically on the soundness of this specification.
To address this, we propose a novel way to augment model checking with symbolic execution of event handlers (to identify representative packets that exercise code paths on the controller).
In this paper, we show how to formally analyze SAM software architecture specifications using two well-known techniques––symbolic model checking with tool Symbolic Model Verifier, and theorem proving with tool STeP.
To benefit from these methods, for a large system, one can combine model checking with our approach.
Model checking with asynchronous updating effectively checks the property for all possible delays by systematically exploring every possible order in which enabled signals can occur.
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Also, designer-specified properties may be model checked with these final design descriptions.
This general model, checked with pressure drop data from fixed beds of spheres, is used to determine these structural parameters for packed beds of parallelepipedal particles.
Geometrical parameters of the model, checked with Procheck [27], are as expected or better for this resolution.
JA consists of fate patterns obtained by using model checking approach (with M OCHA); ST is the fate patterns summarized by Sternberg and Horvitz [ 32]; and STA is the fate patterns derived from [ 32] including hybrid lineage data.
This also suggests our approach as an alternative to model checking of networks with larger CTMCs due to its linear complexity, contrasting with the state-space explosion problem that stochastic model checking faces.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com