  High-level Petri net such as Coloured Petri Nets (CPNs) are characterised by
the combination of Petri nets and a high-level programming language. In the
context of CPNs and CPN Tools, the inscriptions (e.g., arc expressions and
guards) are specified using Standard ML (SML). The application of simulation
and state space exploration (SSE) for validating CPN models traditionally
focuses on behavioural properties related to net structure, i.e., places and
transitions. This means that the net inscriptions are only implicitly
validated, and the extent to which these have been covered is not made
explicit. The contribution of this paper is an approach that establishes a link
between coverage analysis known from programming languages and net inscriptions
of CPN models. Specifically, we consider Modified Condition/Decision Coverage
(MC/DC) which generalises branch coverage of SML decisions. We have implemented
our approach in a library for CPN Tools comprised of an annotation and
instrumentation mechanism that transparently intercept and collect evaluations
of Boolean conditions, and a post-processing tool that determines whether each
decision is MC/DC-covered by a set of models executions (runs). We evaluate our
approach on four larger public-available CPN models.
