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We illustrate techniques to overcome these problems, and show how they could be integrated into the model checking process.
We also discuss the actions that should be taken in order to increase confidence in the model checking process.
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The variable "running" is 1 if and only if that process is currently executed during the model checking procedure.
In practice, however, constructing Boolean network models from biological data typically requires a significant amount of manual efforts through repetitive modeling and checking processes; models are commonly revised iteratively until they conform with targeted essential behavior of biological systems [ 57- 60].
This final model was the result of several iterations of the identification, estimation, and checking process, and it met the conventional criteria for the adequacy of the model.
With the decision model checking for each process context whether it should be served by a specific process variant or the standardized master process, the problem complexity grows exponentially with the number of process contexts (2 n ).
The approach uses model checking in the model construction process for testing the composite behaviors of components, including process deadlock and inconsistency in inter-component call sequences.
The process of model checking is fully automated.
Winter designed a model through CSP (Communicating Sequential Processes) formal modelling language and performed the model checking through FDR (Failures-Divergences Refinement) [3, 4].
The verification process of reactive systems in local model checking [1,7] and in explicit state model checking is[13,15] on-the-fly.
Proving correctness of the (unknown) composed process is strongly related to the model checking problem of a system model.
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