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Information Systems Development pp 181–193Cite as

Convolution as the Key for Service-Identification in Complex Process Models

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Abstract

Process models contain a lot of information. However, even created with the goal of enhancing the understanding of complex processes by making them transparent in an easy human-readable form, it still remains to be a hard task to analyze them in an automated computer-based way. While service-oriented architectures offer a technical base for service-management, the question of mapping business requirements to a design that remains maintainable is still in discussion. In this paper a new approach to ease the analysis of complex models is presented. It heavily relies on a new convolution theory that allows to generate ratios, which can be used to determine the applicability of a service candidate for its use as a real service within a SOA.

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Author information

Authors and Affiliations

  1. Global Institute of Management and Economics, Dongbei University of Finance and Economics, 116025, Dalian, China

    Gunnar Dietz

  2. Chair for Information Systems, Dresden University of Technology, 01062, Dresden, Germany

    Martin Juhrisch

  3. IDS Scheer AG, Altenkesseler Straße 17, 66115, Saarbrücken, Germany

    Katrina Leyking

Authors
  1. Gunnar Dietz
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  2. Martin Juhrisch
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  3. Katrina Leyking
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Corresponding author

Correspondence to Gunnar Dietz .

Editor information

Editors and Affiliations

  1. Fac. Mathematics & Physics, Dept. Software Engineering, Charles University Praha, Malostranske nam. 25, Praha 1, 118 00, Czech Republic

    Jaroslav Pokorny

  2. Dept. Information Technologies, Attn. Prof. Jiri Vorisek, Prague University of Economics, Nam. W. Churchilla 4, Praha, 130 67, Czech Republic

    Vaclav Repa

  3. Fac. Mathematics & Physics, Charles University, Praha, Malostranske nam. 25, Praha 1, 118 00, Czech Republic

    Karel Richta

  4. College of Business & Economics, Dept. Information Technology &, Boise State University, Univesity Dr. 1910, Boise, 83725-1615, Idaho, USA

    Wita Wojtkowski

  5. Fac. Information Technology, Monash University, Clayton, 3800, Victoria, Australia

    Henry Linger

  6. Dept. Accountancy & Finance, National University of Ireland, University Road, Galway, Ireland

    Chris Barry

  7. Dept. Accountancy & Finance, National University of Ireland, University Road, Galway, Ireland

    Michael Lang

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© 2011 Springer Science+Business Media, LLC

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Dietz, G., Juhrisch, M., Leyking, K. (2011). Convolution as the Key for Service-Identification in Complex Process Models. In: Pokorny, J., et al. Information Systems Development. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9790-6_15

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  • DOI: https://doi.org/10.1007/978-1-4419-9790-6_15

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-9645-9

  • Online ISBN: 978-1-4419-9790-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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