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On the Concept of Discovery Power of Enterprise Modeling Languages and Its Relation to Their Expressive Power

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Advances in Enterprise Engineering XVII (EDEWC 2023)

Abstract

The paper introduces a new concept – discovery power – that can be used to characterize an enterprise modeling language. The concept is different from, but connected to, the concept of expressive power. The concept is defined as “the degree of help provided by the structure of an enterprise modeling language to expand a partly built model or fill gaps in it”. The paper also suggests a way of evaluating the discovery power of enterprise modeling languages.

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Notes

  1. 1.

    The choice of languages is based on (1) all these techniques having a certain degree of discovery power; (2) we have experience in using them in practice and/or educational contexts. As far as FEM is concerned, this modeling technique is our invention.

  2. 2.

    The choice of the OODA cycle for describing the context of building models is based on it being in correspondence with our experience. The choice does not exclude the application of other approaches, but this issue is outside the scope of this paper.

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Acknowledgment

The Estonian Research Council (grant PRG1226) partly supported the first author's work. The authors are thankful to Paul Johannesson, who suggested that there is a coupling between the expressive and discovery power. The authors are also grateful to the anonymous reviewers whose comments helped improve the text.

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Correspondence to Ilia Bider .

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Bider, I., Perjons, E. (2024). On the Concept of Discovery Power of Enterprise Modeling Languages and Its Relation to Their Expressive Power. In: Malinova Mandelburger, M., Guerreiro, S., Griffo, C., Aveiro, D., Proper, H.A., Schnellmann, M. (eds) Advances in Enterprise Engineering XVII. EDEWC 2023. Lecture Notes in Business Information Processing, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-58935-5_6

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  • DOI: https://doi.org/10.1007/978-3-031-58935-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-58934-8

  • Online ISBN: 978-3-031-58935-5

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