Model-Centric, Context-Aware Software Adaptation

Nierstrasz, Oscar; Denker, Marcus; Renggli, Lukas (2009). Model-Centric, Context-Aware Software Adaptation. In: Cheng, Betty H.C.; de Lemos, Rogerio; Giese, Holger; Inverardi, Paola; Magee, Jeff (eds.) Software Engineering for Self-Adaptive Systems. Lecture Notes in Computer Science: Vol. 5525 (pp. 128-145). Heidelberg: Springer Verlag 10.1007/978-3-642-02161-9_7

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Software must be constantly adapted to changing requirements. The time scale, abstraction level and granularity of adaptations may vary from short-term, fine-grained adaptation to long-term, coarse-grained evolution. Fine-grained, dynamic and context-dependent adaptations can be particularly difficult to realize in long-lived, large-scale software systems. We argue that, in order to effectively and efficiently deploy such changes, adaptive applications must be built on an infrastructure that is not just model-driven, but is both model-centric and context-aware. Specifically, this means that high-level, causally-connected models of the application and the software infrastructure itself should be available at run-time, and that changes may need to be scoped to the run-time execution context. We first review the dimensions of software adaptation and evolution, and then we show how model-centric design can address the adaptation needs of a variety of applications that span these dimensions. We demonstrate through concrete examples how model-centric and context-aware designs work at the level of application interface, programming language and runtime. We then propose a research agenda for a model-centric development environment that supports dynamic software adaptation and evolution.

Item Type:

Book Section (Book Chapter)


08 Faculty of Science > Institute of Computer Science (INF)
08 Faculty of Science > Institute of Computer Science (INF) > Software Composition Group (SCG)

UniBE Contributor:

Nierstrasz, Oscar Marius; Denker, Marcus and Renggli, Lukas




Lecture Notes in Computer Science


Springer Verlag




Factscience Import

Date Deposited:

04 Oct 2013 15:22

Last Modified:

04 Nov 2019 14:51

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URI: (FactScience: 206783)

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