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Verification of Data Aware Business Process Models: A Methodological Survey of Research Results and Challenges

  • Raffaele Dell’Aversana
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 373)

Abstract

Business Process Management is a discipline that gives a systematic approach to the development of more efficient and effective organizations, enabling quick adaptation to the changes of the business environment. For this reason modeling languages such as BPMN [1] have a wide adoption in modern organizations. Such modeling languages are used for the design and reengineering of Business Processes and have the advantage of having a representation that is not only easy to understand by all the stakeholders but also machine processable.

However any executable model of a business process could contain potential problems (just like any computer software), so there are several research branches focused on formal verification of the models. The verification is not limited to check the correctness of the model but also to verify properties of the model, such as conformance to business rules.

This short paper presents a survey of recent approaches to verification of data-aware business process models and identifies a range of open research challenges.

Keywords

business process re-engineering business process modeling formal verification static verification logic programming 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Advanced Studies G. D’AnnunzioUniversity of Chieti-PescaraChietiItaly

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