Skip to Main content Skip to Navigation
New interface
Book sections

Model-Centric, Context-Aware Software Adaptation.

Abstract : 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.
Document type :
Book sections
Complete list of metadata

Cited literature [47 references]  Display  Hide  Download
Contributor : Lse Lse Connect in order to contact the contributor
Submitted on : Thursday, November 4, 2010 - 2:57:43 PM
Last modification on : Tuesday, May 3, 2022 - 11:04:02 AM
Long-term archiving on: : Friday, October 26, 2012 - 2:55:40 PM


Files produced by the author(s)



Oscar Nierstrasz, Marcus Denker, Lukas Renggli. Model-Centric, Context-Aware Software Adaptation.. Cheng, Betty and de Lemos, Rogério and Giese, Holger and Inverardi, Paola and Magee, Jeff. Software Engineering for Self-Adaptive Systems, 5525, Springer, pp.128-145, 2009, LNCS, 3642021603. ⟨10.1007/978-3-642-02161-9_7⟩. ⟨inria-00532825⟩



Record views


Files downloads