Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
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IEEE Transactions on Software Engineering
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IEEE Transactions on Software Engineering
Algebraic Validation of software Metrics
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Feedback Control of Computing Systems
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Analysis and Algorithms for Restart
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IEEE Transactions on Software Engineering
Achieving Self-Management via Utility Functions
IEEE Internet Computing
Quality Criteria and an Analysis Framework for Self-Healing Systems
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IEEE Transactions on Computers
Adaptivity metric and performance for restart strategies in web services reliable messaging
WOSP '08 Proceedings of the 7th international workshop on Software and performance
Phase-Type Approximations for Message Transmission Times in Web Services Reliable Messaging
SIPEW '08 Proceedings of the SPEC international workshop on Performance Evaluation: Metrics, Models and Benchmarks
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A framework for evaluating quality-driven self-adaptive software systems
Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
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Journal of Systems and Software
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Although adaptivity, the ability to adapt, is an important property of complex computing systems, so far little thought has been given to its evaluation. In this paper we propose a framework and methodology for the definition of benefit-based adaptivity metrics. The metrics thus defined allow an informed choice between systems based on their adaptivity to be made. We demonstrate application of the framework in a case study of restart strategies for Web Services Reliable Messaging. Additionally, we provide a broad survey of related approaches that may be used in the study of adaptivity (comprising, among others, robustness, performability, and control analysis), and evaluate their respective merits in relation to the proposed adaptivity metric.