  Coupling metrics are an established way to measure software architecture
quality with respect to modularity. Static coupling metrics are obtained from
the source or compiled code of a program, while dynamic metrics use runtime
data gathered e.g., by monitoring a system in production. We study
\emph{weighted} dynamic coupling that takes into account how often a connection
is executed during a system's run. We investigate the correlation between
dynamic weighted metrics and their static counterparts. We use data collected
from four different experiments, each monitoring production use of a commercial
software system over a period of four weeks. We observe an unexpected level of
correlation between the static and the weighted dynamic case as well as
revealing differences between class- and package-level analyses.
