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We regard obfuscation as data refinement enabling us to produce equations for proving correctness.
Apart from small, but critical, aspects of such systems formally proving correctness and optimality are regarded as intractable endeavours.
A technique is given and illustrated for proving simulation and equivalence of programs; there is an analogy with Floyd's technique for proving correctness of programs.
The methodology is intended to provide techniques for developing a debugged and verified version starting from a program, that - is possibly unfinished in some respects, - may not satisfy the required specifications,i.e., may contain bugs, - may be incompletely documented in the sense that the assertions provided by the programmer are not sufficient for proving correctness.
In such cases proving correctness might be practically infeasible.
Formal methods are focussed on proving correctness of models and are effective to overcome the drawbacks of simulations and testing techniques (Shah et al. 2015).
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We don't have to prove correctness.
We prove correctness and also present some experimental results obtained with single threaded and distributed prototypes.
The results prove correctness of the proposed solution for operating turbine control in a decentralised way in the island operation.
We prove correctness and optimality of the algorithms and provide an experimental study of their pruning power.
We prove correctness and error bounds for the four different rounding modes, and formalize a subset of the IEEE 754 [IEEE standard for floating point arithmetic. IEEE Std.
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CEO of Professional Science Editing for Scientists @ prosciediting.com