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|Title=Recommendation-based Editor for Business Process Modeling | |Title=Recommendation-based Editor for Business Process Modeling | ||
|Year=2011 | |Year=2011 | ||
− | |Journal=Data & Knowledge Engineering (conditionally accepted | + | |Journal=Data & Knowledge Engineering (conditionally accepted) |
|Publisher=Elsevier | |Publisher=Elsevier | ||
|Note=(conditionally accepted) | |Note=(conditionally accepted) |
Version vom 12. Januar 2011, 09:53 Uhr
Recommendation-based Editor for Business Process Modeling
Recommendation-based Editor for Business Process Modeling
Veröffentlicht: 2011
Journal: Data & Knowledge Engineering (conditionally accepted)
Verlag: Elsevier
Bemerkung: (conditionally accepted)
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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