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Modeling Dimensions for Self-Adaptive Systems

Andersson, Jesper and de Lemos, Rogério and Malek, Sam and Weyns, Danny (2009) Modeling Dimensions for Self-Adaptive Systems. In: Software Engineering for Self-Adaptive Systems. Lecture Notes in Computer Science/Programming and Software Engineering (5525). Springer, pp. 27-47. ISBN 978-3-642-02160-2. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:32078)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.

Abstract

Abstract. It is commonly agreed that a self-adaptive software system is one that can modify itself at run-time due to changes in the system, its requirements, or the environment in which it is deployed. A cursory review of the software engineering literature attests to the wide spectrum of software systems that are described as self-adaptive. The way self-adaptation is conceived depends on various aspects, such as the users ’ requirements, the particular properties of a system, and the characteristics of the environment. In this paper, we propose a classification of modeling dimensions for self-adaptive software systems. Each modeling dimension describes a particular facet of the system that is relevant to self-adaptation. The modeling dimensions provide the engineers with a common set of vocabulary for specifying the self-adaptive properties under consideration and select suitable solutions. We illustrate how the modeling dimensions apply to several application scenarios. Keywords: Self-Adaptive, Self-*, Dynamic Adaptation, Modeling 1.

Item Type: Book section
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Rogerio de Lemos
Date Deposited: 04 Nov 2012 23:40 UTC
Last Modified: 16 Nov 2021 10:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/32078 (The current URI for this page, for reference purposes)

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