A Framework for Evaluating Quality-Driven Self-Adaptive Software Systems

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.
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Norha Villegas, Hausi Müller, Gabriel Tamura, Laurence Duchien, Rubby Casallas. A Framework for Evaluating Quality-Driven Self-Adaptive Software Systems. SEAMS 2011, ACM SIGSOFT / IEEE TCSE, May 2011, Honolulu, Hawaii, United States. pp.80-89, ⟨10.1145/1988008.1988020⟩. ⟨inria-00578337⟩

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