  In an investigation into the process of process modeling, we examined how
modeling behavior relates to the quality of the process model that emerges from
that. Specifically, we considered whether (i) a modeler's structured modeling
style, (ii) the frequency of moving existing objects over the modeling canvas,
and (iii) the overall modeling speed is in any way connected to the ease with
which the resulting process model can be understood. In this paper, we describe
the exploratory study to build these three conjectures, clarify the
experimental set-up and infrastructure that was used to collect data, and
explain the used metrics for the various concepts to test the conjectures
empirically. We discuss various implications for research and practice from the
conjectures, all of which were confirmed by the experiment.
