Artikel in Tagungsband INPROC-2011-13

Schumm, David; Latuske, Gregor; Leymann, Frank; Mietzner, Ralph; Scheibler, Thorsten: State Propagation for Business Process Monitoring on Different Levels of Abstraction.
In: Proceedings of the 19th European Conference on Information Systems (ECIS 2011).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 1-12, englisch.
Helsinki, Finland: -, 9. Juni 2011.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.2.4 (Distributed Systems)
D.2.2 (Software Engineering Design Tools and Techniques)
H.4.1 (Office Automation)
H.5.2 (Information Interfaces and Presentation User Interfaces)
H.5.3 (Group and Organization Interfaces)
KeywordsProcess Monitoring, Process View, State Abstraction

Modeling and execution of business processes is often performed on different levels of abstraction. For example, when a business process is modeled using a high-level notation near to business such as Event-driven Process Chains (EPC), a technical refinement step is required before the process can be executed. Also, model-driven process design allows modeling a process on high-level, while executing it in a more detailed and executable low-level representation such as processes defined in the Business Process Execution Language (BPEL) or as Java code. However, current approaches for graphical monitoring of business processes are limited to scenarios in which the process that is being executed and the process that is being monitored are either one and the same or on the same level of abstraction. In this paper, we present an approach to facilitate business-oriented process monitoring while considering process design on high-level. We propose process views for business process monitoring as projections of activities and execution states in order to support business process monitoring of running process instances on different levels of abstraction. In particular, we discuss state propagation patterns which can be applied to define advanced monitoring solutions for arbitrary graph-based process languages.

CopyrightThe authors
Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Eingabedatum6. März 2011
   Publ. Institut   Publ. Informatik