TY - GEN
T1 - Visual modeling of business process compliance rules with the support of multiple perspectives
AU - Knuplesch, David
AU - Reichert, Manfred
AU - Ly, Linh Thao
AU - Kumar, Akhil
AU - Rinderle-Ma, Stefanie
N1 - Funding Information:
This work was done within the research project CPro funded by the German Research Foundation (DFG), Project number: RE 1402/2-1, and the Austrian Science Fund (FWF) under project number: I743. 3
PY - 2013
Y1 - 2013
N2 - A fundamental challenge for any process-aware information system is to ensure compliance of modeled and executed business processes with imposed compliance rules stemming from guidelines, standards and laws. Such compliance rules usually refer to multiple process perspectives including control flow, time, resources, data, and interactions with business partners. On one hand, compliance rules should be comprehensible for domain experts who must define and apply them. On the other, they should have a precise semantics such that they can be automatically processed. In this context, providing a visual compliance rule language seems promising as it allows hiding formal details and offers an intuitive way of modeling. So far, visual compliance rule languages have focused on the control flow perspective, but lack adequate support for the other perspectives. To remedy this drawback, this paper provides an approach that extends visual compliance rule languages with the ability to consider data, time, resources, and partner interactions when modeling business process compliance rules. Overall, this extension will foster business process compliance support in practice.
AB - A fundamental challenge for any process-aware information system is to ensure compliance of modeled and executed business processes with imposed compliance rules stemming from guidelines, standards and laws. Such compliance rules usually refer to multiple process perspectives including control flow, time, resources, data, and interactions with business partners. On one hand, compliance rules should be comprehensible for domain experts who must define and apply them. On the other, they should have a precise semantics such that they can be automatically processed. In this context, providing a visual compliance rule language seems promising as it allows hiding formal details and offers an intuitive way of modeling. So far, visual compliance rule languages have focused on the control flow perspective, but lack adequate support for the other perspectives. To remedy this drawback, this paper provides an approach that extends visual compliance rule languages with the ability to consider data, time, resources, and partner interactions when modeling business process compliance rules. Overall, this extension will foster business process compliance support in practice.
KW - Business intelligence
KW - Business process compliance
KW - Business process modeling
KW - Compliance rule graphs
UR - http://www.scopus.com/inward/record.url?scp=84894203766&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41924-9_10
DO - 10.1007/978-3-642-41924-9_10
M3 - Conference contribution
AN - SCOPUS:84894203766
SN - 9783642419232
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 106
EP - 120
BT - Conceptual Modeling - 32th International Conference, ER 2013, Proceedings
T2 - 32nd International Conference on Conceptual Modeling, ER 2013
Y2 - 11 November 2013 through 13 November 2013
ER -