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Automatisierte Pflege des Unternehmensarchitekturmodells über Runtime IT Discovery

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Architektur der digitalen Transformation

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Zusammenfassung

Unternehmensarchitekten haben aufgrund fehlender Werkzeugunterstützung Schwierigkeiten, mit raschen Architekturänderungen umzugehen und diese in ihren Architekturmodellen entsprechend zu dokumentieren. Aus diesem Grund wird die Dokumentation von Enterprise Architecture (EA)-Modellen immer noch größtenteils durch manuellen Aufwand erreicht und enthält oft veraltete Informationen. In dieser Arbeit stellen wir einen neuartigen Ansatz zur Erstellung von EA-Modellen vor, der die Instrumentierung von Laufzeitdiensten der bestehenden IT-Architektur nutzt, um statische EA-Modelle automatisch zu erstellen, zu aktualisieren und mit Laufzeitinformationen zu erweitern. Wir führen eine neue Integrationsschicht ein, die statische und Laufzeitdaten aus verschiedenen Datenquellen synchronisiert. Der hiermit implementierte Prototyp ermöglicht es verschiedenen Interessengruppen, Informationen aus beiden Perspektiven (statisch und zur Laufzeit) auf der Grundlage eines verknüpften Unternehmens-Wissensgraphen zu erforschen, der neue Anwendungsfälle und Analysefunktionen unterstützt. Wir evaluieren unseren Prototyp, indem wir ihn in einem großen deutschen Einzelhandelsunternehmen implementieren. Die Einführung von Service-Namenskonventionen und Validierungsworkflows ermöglicht eine vollautomatische Datenintegration, die den Aufwand für manuelle Aufgaben minimiert. Basierend auf Interviews, die wir mit 17 Experten aus zwei verschiedenen Unternehmen geführt haben, konnten wir nachweisen, dass das Tool in der Lage ist, die EA-Modellpflege zu automatisieren.

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Notes

  1. 1.

    https://www.iteraplan.de/.

  2. 2.

    http://alfabet.softwareag.com/.

  3. 3.

    https://www.leanix.net.

  4. 4.

    https://www.dynatrace.com.

  5. 5.

    https://www.appdynamics.com.

  6. 6.

    https://www.instana.com.

  7. 7.

    http://pivio.io/.

  8. 8.

    https://json-schema.org/.

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Authors and Affiliations

  1. Lehrstuhl für Softwaretechnik für Wirtschaftsinformatik, Technische Universität München, München, Deutschland

    Martin Kleehaus & Florian Matthes

Authors
  1. Martin Kleehaus
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  2. Florian Matthes
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Correspondence to Martin Kleehaus .

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Editors and Affiliations

  1. Fakultät Informatik, Hochschule Reutlingen, Reutlingen, Deutschland

    Alfred Zimmermann

  2. Informatik und Mathematik, Hochschule München, München, Deutschland

    Rainer Schmidt

  3. Technische Universität Sydney, Sydney, Australia

    Lakhmi C. Jain

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Kleehaus, M., Matthes, F. (2023). Automatisierte Pflege des Unternehmensarchitekturmodells über Runtime IT Discovery. In: Zimmermann, A., Schmidt, R., Jain, L.C. (eds) Architektur der digitalen Transformation. Springer Vieweg, Cham. https://doi.org/10.1007/978-3-031-22243-6_13

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