A unifying framework for probabilistic testing equivalences is introduced via distribution-based semantics and process predicates, yielding internal and external characterizations that generalize classical fair/should and may equivalences and are proven to be congruences.
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A Unifying Approach to Probabilistic Testing Equivalences
A unifying framework for probabilistic testing equivalences is introduced via distribution-based semantics and process predicates, yielding internal and external characterizations that generalize classical fair/should and may equivalences and are proven to be congruences.