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2015 IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA) (2015)
Rome, Italy
Oct. 19, 2015 to Oct. 21, 2015
ISBN: 978-1-4673-9469-7
pp: 116-122
ABSTRACT
Traditional activity-centric process modeling languages treat data as simple black boxes acting as input or output for activities. Many alternate and emerging process modeling paradigms, such as case handling and artifact-centric process modeling, give data a more central role. This is achieved by introducing lifecycles and states for data objects, which is beneficial when modeling data-or knowledge-intensive processes. We assume that traditional activity-centric process modeling languages lack the capabilities to adequately capture the complexity of such processes. To verify this assumption we conducted an online interview among BPM experts. The results not only allow us to identify various profiles of persons modeling business processes, but also the problems that exist in contemporary modeling languages w.r.t. The modeling of business data. Overall, this preliminary empirical study confirms the necessity of data-awareness in process modeling notations in general.
INDEX TERMS
Unified modeling language, Data models, Process modeling, Business, GSM, Electronic mail, Software,empirical study, business process modeling, data modeling
CITATION
Andrea Marrella, Massimo Mecella, Alessandro Russo, Sebastian Steinau, Kevin Andrews, Manfred Reichert, "Data in Business Process Models, A Preliminary Empirical Study (Short Paper)", 2015 IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA), vol. 00, no. , pp. 116-122, 2015, doi:10.1109/SOCA.2015.19
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