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Recommendation-based Editor for Business Process Modeling
Recommendation-based Editor for Business Process Modeling
Veröffentlicht: 2011 Juni
Journal: Data & Knowledge Engineering
Nummer: 6
Seiten: 483-503
Verlag: Elsevier
Volume: 70
Nicht-referierte Veröffentlichung
Kurzfassung
To ensure proper and efficient modeling of business processes, it is important
to support users of process editors adequately. With minimal modeling support,
the productivity of novice business process modelers may be low when
starting process modeling. In this article, we present a theoretically sound and
empirically validated recommendation-based modeling support system, which
covers different aspects of business process modeling. We consider basic functionality,
such as an intuitive search interface, as well as advanced concepts like
patterns observed in other users' preferences. Additionally, we propose a multitude
of interaction possibilities with the recommendation system, e.g., different
metrics that can be used in isolation or an overall recommender component
that combines several sub metrics into one comprehensive score. We validate a
prototype implementation of the recommendation system with exhaustive user
experiments based on real-life process models. To our knowledge, this is the
only comprehensive recommendation system for business process modeling that
is available.
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