  The DEVStone benchmark allows us to evaluate the performance of
discrete-event simulators based on the DEVS formalism. It provides model sets
with different characteristics, enabling the analysis of specific issues of
simulation engines. However, this heterogeneity hinders the comparison of the
results among studies, as the results obtained on each research work depend on
the chosen subset of DEVStone models. We define the DEVStone metric based on
the DEVStone synthetic benchmark and provide a mechanism for specifying
objective ratings for DEVS-based simulators. This metric corresponds to the
average number of times that a simulator can execute a selection of 12 DEVStone
models in one minute. The variety of the chosen models ensures we measure
different particularities provided by DEVStone. The proposed metric allows us
to compare various simulators and to assess the impact of new features on their
performance. We use the DEVStone metric to compare some popular DEVS-based
simulators.
