In this paper we propose a set of metrics for the description and evaluation of the adaptive properties of information systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to determine the type of adaptivity of a system or to compare the adaptive features of different systems. The metrics are grouped into categories: architectural, structural, interaction, and performance. They have been identified and specified by analyzing several case studies, which address runtime adaptivity issues through different approaches with different objectives in various application contexts.
Raibulet, C., Masciadri, L. (2009). Towards evaluation mechanisms for runtime adaptivity: From case studies to metrics. In 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns (pp.146-152). IEEE [10.1109/ComputationWorld.2009.89].
Towards evaluation mechanisms for runtime adaptivity: From case studies to metrics
RAIBULET, CLAUDIA;
2009
Abstract
In this paper we propose a set of metrics for the description and evaluation of the adaptive properties of information systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to determine the type of adaptivity of a system or to compare the adaptive features of different systems. The metrics are grouped into categories: architectural, structural, interaction, and performance. They have been identified and specified by analyzing several case studies, which address runtime adaptivity issues through different approaches with different objectives in various application contexts.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.