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Identifying Performance Challenges in Consistency Preserving View-Based Environments

König, Lars ORCID iD icon; Weber, Thomas ORCID iD icon

Abstract:

The development of systems, e.g., software systems or cyber-physical systems, becomes more and more complex. Successful approaches for reducing the complexity of their development are view-based model-driven approaches, where developers see only the relevant part of the system for a specific task. As these views still show the same system, their content may be semantically related and changes on one view might require changes on other views to keep them consistent. Although already used in industry, view-based approaches are still not a mature field of research and especially performance is often not a focus in their development. For industrial application, however, performance is crucial, as tools can otherwise become unusable with the extensive sizes of industrial models. To target this problem, we identify possible performance challenges of consistency preserving view-based environments and provide ideas on how to overcome them.


Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 0720-8928
KITopen-ID: 1000167127
HGF-Programm 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems
Erschienen in Softwaretechnik-Trends, 14th Symposium on Software Performance 2023, Karlsruhe, 6th - 8th November 2023
Veranstaltung 14th Symposium on Software Performance 2023 (SSP 2023), Karlsruhe, 06.11.2023 – 08.11.2023
Verlag Gesellschaft für Informatik (GI)
Seiten 26-28
Serie Softwaretechnik-Trends ; 43
Externe Relationen Abstract/Volltext
Schlagwörter consistency preservation, model driven engineering, performance, view-based development
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