Format:
1 Online-Ressource (xvi, 357 Seiten, 17351 KB)
,
Diagramme
Content:
The development of self-adaptive software requires the engineering of an adaptation engine that controls the underlying adaptable software by a feedback loop. State-of-the-art approaches prescribe the feedback loop in terms of numbers, how the activities (e.g., monitor, analyze, plan, and execute (MAPE)) and the knowledge are structured to a feedback loop, and the type of knowledge. Moreover, the feedback loop is usually hidden in the implementation or framework and therefore not visible in the architectural design. Additionally, an adaptation engine often employs runtime models that either represent the adaptable software or capture strategic knowledge such as reconfiguration strategies. State-of-the-art approaches do not systematically address the interplay of such runtime models, which would otherwise allow developers to freely design the entire feedback loop. This thesis presents ExecUtable RuntimE MegAmodels (EUREMA), an integrated model-driven engineering (MDE) solution that rigorously uses models for engineering feedback[…]
Note:
Dissertation Universität Potsdam 2018
Additional Edition:
Erscheint auch als Druck-Ausgabe Vogel, Thomas, 1982 - Model-driven engineering of self-adaptive software Potsdam, 2018
Language:
English
Keywords:
Modellgetriebene Entwicklung
;
Entwurfssprache
;
Selbstoptimierung
;
Hochschulschrift
URN:
urn:nbn:de:kobv:517-opus4-409755
URL:
https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-409755
URL:
https://d-nb.info/1217040188/34
Author information:
Giese, Holger 1970-
Author information:
Vogel, Thomas 1982-
