Validating High Level Simulation Results against Experimental Data and Low Level Simulation: A Case Study

Research output: Contribution to conferencePaperpeer-review


Simulation can be considered a necessary evil in the validation of
systems, especially when the system under consideration is being
prototyped and therefore does not presently exist. This is compounded by the use of high level simulators; on the one hand, high
level simulation is efficient, in that it abstracts away many details
of the system which are deemed to be not important. This allows
for a simpler and faster running simulator, which allows the user
to obtain results faster and/or perform more experiments. On the
other hand, some of the details abstracted away might turn out to
be important, introducing inaccuracies.
This paper outlines a framework for the statistical understanding
and attribution of the errors produced by a high level simulator
when compared against real experiments by means of a low level
simulator. This allows the user of a simulator to determine whether
or not the inaccuracies are significant, and whether or not the high
level simulator requires refinements in its accuracy for the results
to be valid. These techniques are illustrated via a case study.
Original languageEnglish
Publication statusPublished - 1 Aug 2019
EventReal-Time Networks and Systems - Toulouse, France
Duration: 6 Nov 20198 Nov 2019


ConferenceReal-Time Networks and Systems
Abbreviated titleRTNS

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