Abstract
This demonstration paper describes the Living Systems Autonomic BPM (LS/ABPM) suite from Whitestein Technologies AG. This unique product consists of several integrated components for modelling, executing and administering business processes using a ground-breaking goal − oriented approach to BPM. A real and current customer case in the domain of Engineering Change Management (ECM), from Daimler AG, is used to explore the approach and features of the suite in the demonstration. Key improvements over conventional BPM techniques and technologies include business-goal oriented process modeling and extending process agility beyond the design stage by offering autonomic, selfoptimizing process orchestration and execution.
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References
Greenwood, D., Rimassa, G.: Autonomic goal-oriented business process management. In: Proceedings of the Third International Conference on Autonomic and Autonomous Systems (ICAS 2007) (2007)
Rao, A.S., Georgeff, M.P.: BDI-agents: from theory to practice. In: Proceedings of the First Intl. Conference on Multiagent Systems, San Francisco (1995)
Tibco: Goal-driven business process management: Creating agile business processes for an unpredictable environment. Tibco Whitepaper (2006)
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© 2008 Springer-Verlag Berlin Heidelberg
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Greenwood, D. (2008). Goal-Oriented Autonomic Business Process Modeling and Execution: Engineering Change Management Demonstration. In: Dumas, M., Reichert, M., Shan, MC. (eds) Business Process Management. BPM 2008. Lecture Notes in Computer Science, vol 5240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85758-7_31
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DOI: https://doi.org/10.1007/978-3-540-85758-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85757-0
Online ISBN: 978-3-540-85758-7
eBook Packages: Computer ScienceComputer Science (R0)