Publikation: Quo Vadis modeling?
Stammdaten
Titel: | Quo Vadis modeling? |
Untertitel: | Findings of a community survey, an ad-hoc bibliometric analysis, and expert interviews on data, process, and software modeling |
Kurzfassung: | AbstractModels are the key tools humans use to manage complexity in description, development, and analysis. This applies to all scientific and engineering disciplines and in particular to the development of software and data-intensive systems. However, different methods and terminologies have become established in the individual disciplines, even in the sub-fields of Informatics, which raises the need for a comprehensive and cross-sectional analysis of the past, present, and future of modeling research. This paper aims to shed some light on how different modeling disciplines emerged and what characterizes them with a discussion of the potential toward a common modeling future. It focuses on the areas of software, data, and process modeling and reports on an analysis of the research approaches, goals, and visions pursued in each, as well as the methods used. This analysis is based on the results of a survey conducted in the communities concerned, on a bibliometric study, and on interviews with a prominent representative of each of these communities. The paper discusses the different viewpoints of the communities, their commonalities and differences, and identifies possible starting points for further collaboration. It further discusses current challenges for the communities in general and modeling as a research topic in particular and highlights visions for the future. |
Schlagworte: | Modeling and Simulation, Software |
Publikationstyp: | Beitrag in Zeitschrift (Autorenschaft) |
Erscheinungsdatum: | 10.10.2023 (Online) |
Erschienen in: |
Journal of Software & Systems Modeling
Journal of Software & Systems Modeling
(
Springer International Publishing AG;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Heftnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1 - 22 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 10.10.2023 |
ISBN (e-book): | - |
eISSN: | 1619-1374 |
DOI: | http://dx.doi.org/10.1007/s10270-023-01128-y |
Homepage: | - |
Open Access |
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AutorInnen
Judith Michael
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Dominik Bork
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Manuel Wimmer (extern) | ||||
Heinrich C. Mayr (intern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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AT - A-9020 Klagenfurt |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Zitationsindex |
Informationen zum Zitationsindex: Master Journal List
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Peer Reviewed |
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Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
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Arbeitsgruppen |
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Kooperationen
Organisation | Adresse | ||
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RWTH Aachen
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DE - 52062 Aachen |
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Technische Universität Wien
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AT - 1040 Wien |
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Johannes Kepler Universität Linz
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AT - 4040 Linz |
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
Projekte: | Keine verknüpften Projekte vorhanden |
Publikationen: | Keine verknüpften Publikationen vorhanden |
Veranstaltungen: | Keine verknüpften Veranstaltung vorhanden |
Vorträge: | Keine verknüpften Vorträge vorhanden |