A framework for evaluating quality-driven self-adaptive software systems

  • Authors:
  • Norha M. Villegas;Hausi A. Müller;Gabriel Tamura;Laurence Duchien;Rubby Casallas

  • Affiliations:
  • University of Victoria, Victoria, BC, Canada;University of Victoria, Victoria, BC, Canada;University of Lille, Lille, France;University of Lille, Lille, France;University of Los Andes, Bogotá, Colombia

  • Venue:
  • Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
  • Year:
  • 2011

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Abstract

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.