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How do we Evaluate Self-adaptive Software Systems?
With the increase of research in self-adaptive systems, there is a need ...
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Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
Two established approaches to engineer adaptive systems are architecture...
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On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems
Recently, we have been witnessing an increasing use of machine learning ...
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Decentralized Self-Adaptive Systems: A Mapping Study
With the increasing ubiquity and scale of self-adaptive systems, there i...
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Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review
Recently, we witness a rapid increase in the use of machine learning in ...
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Uncertainty in Self-Adaptive Systems: A Research Community Perspective
One of the primary drivers for self-adaptation is ensuring that systems ...
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Towards Bridging the Gap between Control and Self-Adaptive System Properties
Two of the main paradigms used to build adaptive software employ differe...
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An Architectural Style for Self-Adaptive Multi-Agent Systems
Modern distributed software systems often operate in dynamic environment...
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ActivFORMS: A Model-Based Approach to Engineer Self-Adaptive Systems
Handling change is an increasingly important challenge for software engi...
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Perpetual Assurances for Self-Adaptive Systems
Providing assurances for self-adaptive systems is challenging. A primary...
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