Dynamic Condition Response Graphs for Trustworthy Adaptive Case Management
By trustworthy adaptive case management we mean that it should be possible to adapt processes and goals at runtime while guaranteeing that no deadlocks and livelocks are introduced. We propose to support this by applying a formal declarative process model, DCR Graphs, and exemplify its operational semantics that supports both run time changes and formal verification. We show how these techniques are being implemented in industry as a component of the Exformatics case management tools. Finally we discuss the planned future work, which will aim to allow changes to be tested for conformance wrt policies specified either as linear time logic (LTL) or DCR Graphs, extend the language with time and data and offer extended support for cross-organizational case management systems.
KeywordsCase Management Process Fragment Declarative Process Plan Future Work Linear Time Logic
Unable to display preview. Download preview PDF.
- 1.Hildebrandt, T., Mukkamala, R.R.: Declarative event-based workflow as distributed dynamic condition response graphs. In: PLACES. EPTCS, vol. 69, pp. 59–73 (2011)Google Scholar
- 4.Hildebrandt, T., Mukkamala, R.R., Slaats, T., Zanitti, F.: Contracts for cross-organizational workflows as timed dynamic condition response graphs. Journal of Logic and Algebraic Programming (JLAP) (May 2013), http://dx.doi.org/10.1016/j.jlap.2013.05.005
- 5.Hull, R.: Formal study of business entities with lifecycles: Use cases, abstract models, and results. In: Bravetti, T., Bultan, M. (eds.) 7th International Workshop on Web Services and Formal Methods. LNCS, vol. 6551 (2010)Google Scholar
- 6.Mukkamala, R.R.: A Formal Model For Declarative Workflows: Dynamic Condition Response Graphs. PhD thesis, IT University of Copenhagen (June 2012), http://www.itu.dk/people/rao/phd-thesis/DCRGraphs-rao-PhD-thesis.pdf
- 7.Mukkamala, R.R., Hildebrandt, T., Slaats, T.: Towards trustworthy adaptive case management with dynamic condition response graphs. In: Proceedings of the 17th IEEE International EDOC Conference, EDOC (2013)Google Scholar
- 11.Swenson, K.D.: Mastering the Unpredictable: How Adaptive Case Management Will Revolutionize the Way That Knowledge Workers Get Things Done. Meghan-Kiffer Press (2010)Google Scholar
- 12.van der Aalst, W.M.P., Pesic, M., Schonenberg, H.: Declarative workflows: Balancing between flexibility and support. Computer Science - R&D 23(2), 99–113 (2009)Google Scholar