Variability in Business Processes: Automatically Obtaining a Generic Specification

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Van Beest, Nick; Groefsema, Heerko; Garcia-Banuelo, Luciano; Aiello, Marco


2019-02


Journal Article


Information Systems


80


36-55


The existence of different process variants is inevitable in many modern organizations. However, variability in business process support has proven to be a challenge as it requires a flexible business process specification that supports the required process variants and is at the same time compliant with policies and regulations. Declarative approaches could support variability, by providing constraining process behavior and thereby allowing different variants. However, manual specification of these constraints is complicated and error-prone. As such, tools are required to ensure that duplication of specifications is avoided as much as possible, while retaining maintainability. In this paper, we present an approach to represent different process variants in a single compound prime event structure, and provide a method to subsequently derive variability rules from this compound prime event structure. The approach is evaluated on its performance and the number of produced variability rules from a real-life case study from the Dutch eGovernment, proving that the approach is both effective and efficient.


Elsevier


Information and Computing Sciences not elsewhere classified


https://doi.org/10.1016/j.is.2018.09.005


EP181321


Journal article - Refereed


English


Van Beest, Nick; Groefsema, Heerko; Garcia-Banuelo, Luciano; Aiello, Marco. Variability in Business Processes: Automatically Obtaining a Generic Specification. Information Systems. 2019; 80:36-55. https://doi.org/10.1016/j.is.2018.09.005



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