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Pattern-Based Misalignment Symptom Detection with XML Validation: A Case Study

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Book cover Enterprise and Organizational Modeling and Simulation (EOMAS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 298))

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Abstract

In this paper, an analytical solution is built to approach the topic of strategic misalignment from an enterprise architecture (EA)-based perspective. The study aims to accomplish an EA-based, systematic analysis of mismatches between business and information systems. The research takes a pattern-based approach to reveal the symptoms of malfunctioning alignment areas. In this study, the analytical potential of pattern generation and rule testing are utilized in complex EA environment. Misalignment symptoms – defined as formal patterns – are detected in the underlying EA models by using XML validation tools. Pattern generation and rule testing are supported by Schematron, a pattern-based XML validation language. The operation, the correctness and the significance of the approach is validated via a compound case study at a road management authority. The proposed research has the potential to extend our understanding on assessing the state of misalignment in a complex EA model structure by applying rule testing and XML validation techniques in EA environment.

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Acknowledgement

This paper has been written with the support of the National University of Public Service in the framework of the priority project KÖFOP-2.1.2-VEKOP-15-2016-00001 titled “Public Service Development for Establishing Good Governance” - Ludovika Digital Governance Research Group.

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Authors and Affiliations

  1. Department of Information Systems, Corvinus University of Budapest, Budapest, Hungary

    Dóra Őri

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  1. Dóra Őri
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Correspondence to Dóra Őri .

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Editors and Affiliations

  1. Czech Technical University in Prague, Prague, Czech Republic

    Robert Pergl

  2. Loughborough University, Loughborough, United Kingdom

    Russell Lock

  3. Higher School of Economics, National Research University, Nizhny Novgorod, Russia

    Eduard Babkin

  4. Czech Technical University in Prague, Prague, Czech Republic

    Martin Molhanec

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Őri, D. (2017). Pattern-Based Misalignment Symptom Detection with XML Validation: A Case Study. In: Pergl, R., Lock, R., Babkin, E., Molhanec, M. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2017. Lecture Notes in Business Information Processing, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-319-68185-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-68185-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68184-9

  • Online ISBN: 978-3-319-68185-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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