Authors:
Koen Kraaijveld
1
and
Claudia Raibulet
1
;
2
Affiliations:
1
Vrije Universiteit Amsterdam, Computer Science Department, De Beolelaan 1111, 1081HV, Amsterdam, The Netherlands
;
2
University of Milano-Bicocca, DISCo-Dip. di Informatica, Sistemistica e Comunicazione, Viale Sarca 336, Milan, Italy
Keyword(s):
Self-Adaptive System, Evaluation, Software Metrics, Adaptive Strategy, Architecture-based Self-Adaptation.
Abstract:
In the last two decades, research in Self-Adaptive Systems (SAS) has proposed various approaches for inducing a software system with the ability to change itself at runtime in terms of self-adaptation strategies. For the wider adoption of these strategies, there is a need for a framework and tool support to enable their analysis, evaluation, comparison, and eventually their selection in overlapping cases. In this paper, we take a step in this direction by proposing a comprehensive metric suite, i.e., the Adaptive Strategies Metric Suite (ASMS), to measure the design and runtime properties of the adaptive strategies for SAS. ASMS consists of metrics that can be applied through both static and dynamic code analysis. The metrics pertaining to static code analysis have been implemented as a plugin for Understand tool.