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The art of writing a formal specification does not guarantee about complete correctness of a model.
An art of writing formal specification does not provide any guarantee about complete correctness of a model.
Simulation techniques lack in proving complete correctness of a model because the number of test cases increases exponentially to gain a required level of confidence.
Fig. 1 An overview of to what degree different estimation approaches rely on the correctness of a model and probability sampling.
Although test coverage facility, in VDM-SL toolbox, does not give guarantee about correctness of a model even if 100%% test coverage is achieved, but it increases the confidence in the model as it can be checked which part of the model is not executed.
The correctness of a model is an important issue that is poorly addressed by the current review process.
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However, we have not conducted a fully manual check for the correctness of the composed model as checking the correctness of a composed model semantically is a manual process.
While model checking techniques can be used to verify the correctness of a workflow model, these techniques typically suffer from the state explosion problem.
We know that no computer tool can guarantee about 100% correctness of a computer model.
We know there does not exist any computer tool which may promise about complete correctness of a computer model.
A complementary approach may be the involvement of the scientific community to evaluate the correctness of a network model.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com