DistributionDefinition limited to either Deterministic or Stochastic

Currently the DistributionDefinition node forces a choice between Deterministic or Stochastic. However I see no reason why an experiment can't have named parameters from either variation present.

What was the reasoning to keeping it exclusive to one type and would it be worth reconsidering that and allowing both types to be present?

F.e allowing this:

<OpenScenario>
  <ParameterValueDistribution>

    <Deterministic>
      <DeterministicSingleParameterDistribution parameterName="ParameterA">
        <DistributionRange stepWidth="2">
          <Range lowerLimit="0" upperLimit="10"/>
        </DistributionRange>
      </DeterministicSingleParameterDistribution>
    </Deterministic>
 
    <Stochastic numberOfTestRuns="5" randomSeed="123">
      <StochasticDistribution parameterName="ParameterB">
        <ProbabilityDistributionSet>
          <Element value="5" weight="10"/>
          <Element value="10" weight="80"/>
          <Element value="15" weight="10"/>
        </ProbabilityDistributionSet>
      </StochasticDistribution>
    </Stochastic>

  </ParameterValueDistribution>
</OpenScenario>