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Using Knowledge Graphs to Detect Enterprise Architecture Smells

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The Practice of Enterprise Modeling (PoEM 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 432))

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Abstract

Hitherto, the concept of Enterprise Architecture (EA) Smells has been proposed to assess quality flaws in EAs and their models. Together with this new concept, a catalog of different EA Smells has been published and a first prototype was developed. However, this prototype is limited to ArchiMate and is not able to assess models adhering to other EA modeling languages. Moreover, the prototype is not integrate-able with other EA tools. Therefore, we propose to enhance the extensible Graph-based Enterprise Architecture Analysis (eGEAA) platform that relies on Knowledge Graphs with EA Smell detection capabilities. To align these two approaches, we show in this paper, how ArchiMate models can be transformed into Knowledge Graphs and provide a set of queries on the Knowledge Graph representation that are able to detect EA Smells. This enables enterprise architects to assess EA Smells on all types of EA models as long as there is a Knowledge Graph representation of the model. Finally, we evaluate the Knowledge Graph based EA Smell detection by analyzing a set of 347 EA models.

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Author information

Authors and Affiliations

  1. TU Wien, Business Informatics Group, Vienna, Austria

    Muhamed Smajevic & Dominik Bork

  2. Division of Network and Systems Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

    Simon Hacks

  3. The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark

    Simon Hacks

Authors
  1. Muhamed Smajevic
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  2. Simon Hacks
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  3. Dominik Bork
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Corresponding author

Correspondence to Dominik Bork .

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Editors and Affiliations

  1. KU Leuven, LIRIS, Leuven, Belgium

    Estefanía Serral

  2. Stockholm University, Kista, Sweden

    Janis Stirna

  3. University of Geneva, Carouge, Switzerland

    Jolita Ralyté

  4. Riga Technical University, Riga, Latvia

    Jānis Grabis

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Smajevic, M., Hacks, S., Bork, D. (2021). Using Knowledge Graphs to Detect Enterprise Architecture Smells. In: Serral, E., Stirna, J., Ralyté, J., Grabis, J. (eds) The Practice of Enterprise Modeling. PoEM 2021. Lecture Notes in Business Information Processing, vol 432. Springer, Cham. https://doi.org/10.1007/978-3-030-91279-6_4

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  • DOI: https://doi.org/10.1007/978-3-030-91279-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91278-9

  • Online ISBN: 978-3-030-91279-6

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