Improving exception handling by discovering change dependencies in adaptive process management systems

Authors:
Barbara Weber;Werner Wild;Markus Lauer;Manfred Reichert
Affiliations:
Quality Engineering Research Group, University of Innsbruck, Austria;Evolution Consulting, Innsbruck, Austria;Dept. Databases and Information Systems, University of Ulm, Germany;Information Systems Group, University of Twente, The Netherlands
Venue:
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
Year:
2006

Citing 11
Cited 0

Case-based reasoning

Case-based reasoning
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Journal of Intelligent Information Systems - Special issue on workflow management systems
Exception Handling in Workflow Systems

Applied Intelligence
Introduction: Interactive Case-Based Reasoning

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Workflow mining: a survey of issues and approaches

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Correctness criteria for dynamic changes in workflow systems: a survey

Data & Knowledge Engineering - Special issue: Advances in business process management
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Process Aware Information Systems: Bridging People and Software Through Process Technology
Generating a process model from a process audit log

BPM'03 Proceedings of the 2003 international conference on Business process management
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ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Integrating process learning and process evolution – a semantics based approach

BPM'05 Proceedings of the 3rd international conference on Business Process Management
Case-base maintenance for CCBR-based process evolution

ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning

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Abstract

Process-aware information systems should enable the flexible alignment of business processes to new requirements by supporting deviations from the predefined process model at runtime. To facilitate such dynamic process changes we have adopted techniques from case-based reasoning (CBR). In particular, our existing approach allows to capture the semantics of ad-hoc changes, to support their memorization, and to enable their reuse in upcoming exceptional situations. To further improve change reuse this paper presents an approach for discovering dependencies between ad-hoc modifications from change history. Based on this information better user assistance can be provided when dynamic process changes have to be made.