- Business process models play an important role for
the management, design, and improvement of process
organizations and process-aware information systems.
Despite the extensive application of process modeling
in practice there are hardly empirical results available
on quality aspects of process models. This paper aims
to advance the understanding of this matter by analyzing the connection between formal errors (such as
deadlocks) and a set of metrics that capture various
structural and behavioral aspects of a process model.
In particular we discuss the hypothetical relationship
between errors and metrics, and provide a validation
of correlation based on an extensive sample of EPC
process models from practice. The strong connection
between metrics and errors has considerable consequences for the design of future modeling guidelines
and modeling tools.
(from crpit.com)
(local if available)
