A framework for evaluating quality-driven self-adaptive software systems
Over the past decade the dynamic capabilities of self-adaptive software-intensive systems have proliferated and improved significantly. To advance the field of self-adaptive and self-managing systems further and to leverage the benefits of self-adaptation, we need to develop methods and tools to ass...
- Autores:
-
Villegas Machado, Norha Milena
Casallas, Rubby
Duchien, Laurence
Tamura Morimitsu, Gabriel
Müller, Hausi A.
- Tipo de recurso:
- Part of book
- Fecha de publicación:
- 2011
- Institución:
- Universidad ICESI
- Repositorio:
- Repositorio ICESI
- Idioma:
- eng
- OAI Identifier:
- oai:repository.icesi.edu.co:10906/83114
- Acceso en línea:
- http://portal.acm.org/citation.cfm?doid=1988008.1988020
http://repository.icesi.edu.co/biblioteca_digital/handle/10906/83114
http://dx.doi.org/10.1145/1988008.1988020
- Palabra clave:
- Autoadaptación
Sistemas de control autoadaptables
Ingeniería de sistemas y comunicaciones
Sistemas de software
Systems engineering
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | Over the past decade the dynamic capabilities of self-adaptive software-intensive systems have proliferated and improved significantly. To advance the field of self-adaptive and self-managing systems further and to leverage the benefits of self-adaptation, we need to develop methods and tools to assess and possibly certify adaptation properties of self-adaptive systems, not only at design time but also, and especially, at run-time. In this paper we propose a framework for evaluating quality-driven self-adaptive software systems. Our framework is based on a survey of self-adaptive system papers and a set of adaptation properties derived from control theory properties. We also establish a mapping between these properties and software quality attributes. Thus, corresponding software quality metrics can then be used to assess adaptation properties. © 2011 ACM. |
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