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International Conference on Conceptual Modeling

ER 2013: Conceptual Modeling pp 61–73Cite as

Is Traditional Conceptual Modeling Becoming Obsolete?

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8217))

Abstract

Traditionally, the research and practice of conceptual modeling assumed relevant information about a domain is determined in advance to be used as input to design. The increasing ubiquity of open systems – characterized by heterogeneous and transient users, customizable features, and open or extensible data standards – challenges a number of long-held propositions about conceptual modeling. We raise the question whether conceptual modeling as commonly understood is an impediment to systems development and should be phased out for certain classes of information systems. We discuss the motivation for rethinking approaches to conceptual modeling, consider traditional approaches to conceptual modeling and provide empirical evidence of the limitations of traditional conceptual modeling. We then propose three directions for future conceptual modeling research.

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Author information

Authors and Affiliations

  1. Faculty of Business Administration, Memorial University of Newfoundland, Canada

    Roman Lukyanenko & Jeffrey Parsons

Authors
  1. Roman Lukyanenko
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  2. Jeffrey Parsons
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

    Wilfred Ng

  2. Department of Computer Information Systems, J. Mack Robinson College of Business, Georgia State University, USA

    Veda C. Storey

  3. University of Allicante, 03690, Allicante, Spain

    Juan C. Trujillo

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Lukyanenko, R., Parsons, J. (2013). Is Traditional Conceptual Modeling Becoming Obsolete? . In: Ng, W., Storey, V.C., Trujillo, J.C. (eds) Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41924-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-41924-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41923-2

  • Online ISBN: 978-3-642-41924-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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