Title
Seven process modeling guidelines (7PMG)
Abstract
Business process modeling is heavily applied in practice, but important quality issues have not been addressed thoroughly by research. A notorious problem is the low level of modeling competence that many casual modelers in process documentation projects have. Existing approaches towards model quality might be of benefit, but they suffer from at least one of the following problems. On the one hand, frameworks like SEQUAL and the Guidelines of Modeling are too abstract to be applicable for novices and non-experts in practice. On the other hand, there are collections of pragmatic hints that lack a sound research foundation. In this paper, we analyze existing research on relationships between model structure on the one hand and error probability and understanding on the other hand. As a synthesis we propose a set of seven process modeling guidelines (7PMG). Each of these guidelines builds on strong empirical insights, yet they are formulated to be intuitive to practitioners. Furthermore, we analyze how the guidelines are prioritized by industry experts. In this regard, the seven guidelines have the potential to serve as an important tool of knowledge transfer from academia into modeling practice.
Year
DOI
Venue
2010
10.1016/j.infsof.2009.08.004
Information & Software Technology
Keywords
Field
DocType
model structure,model quality,error probability,guidelines,business process modeling,casual modeler,process documentation project,process modeling guideline,important quality issue,sound research foundation,important tool,modeling,business process model
Artifact-centric business process model,Business process management,Business process,Computer science,Process modeling,Knowledge management,Business process modeling,Business process discovery,Business Process Model and Notation,Business rule,Process management
Journal
Volume
Issue
ISSN
52
2
Information and Software Technology
Citations 
PageRank 
References 
243
6.21
47
Authors
3
Search Limit
100243
Name
Order
Citations
PageRank
J. Mendling185929.52
Hajo A. Reijers23424193.65
Wil Van Der Aalst3208941418.27