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.
paper
adaptive systems, evaluation, software metrics
English
Computation World Conference: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns 2009
2009
2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns
978-076953862-4
2009
146
152
none
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/8801
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