DYPROTO - Tools for Dynamic Business Processes

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Provided by: Aachen University
Topic: Big Data
Format: PDF
In this paper, the authors present research results about tools for supporting dynamic business processes. This paper has been conducted in three-year cooperation between their department and an IT service provider for insurance companies. Their partner's Process Management System (PMS) is rather aligned with static processes, whose structure is not changed at process run time. Therefore, they contribute an approach for obtaining dynamic process execution support based on this static PMS by automatically augmenting existent WS-BPEL process definitions and run time data.
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