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A Scalable Querying Scheme for Memory-efficient Runtime Models with History
Runtime models provide a snapshot of a system at runtime at a desired le...
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Improving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic Architectures
Self-adaptation can be realized in various ways. Rule-based approaches p...
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Collective Risk Minimization via a Bayesian Model for Statistical Software Testing
In the last four years, the number of distinct autonomous vehicles platf...
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Towards Highly Scalable Runtime Models with History
Advanced systems such as IoT comprise many heterogeneous, interconnected...
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A Testing Scheme for Self-Adaptive Software Systems with Architectural Runtime Models
Self-adaptive software systems (SASS) are equipped with feedback loops t...
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Model-Driven Engineering of Self-Adaptive Software with EUREMA
The development of self-adaptive software requires the engineering of an...
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A language for feedback loops in self-adaptive systems: Executable runtime megamodels
The development of self-adaptive software requires the engineering of pr...
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The Role of Models and Megamodels at Runtime
In model-driven software development a multitude of interrelated models ...
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Requirements and Assessment of Languages and Frameworks for Adaptation Models
Approaches to self-adaptive software systems use models at runtime to le...
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Adaptation and Abstract Runtime Models
Runtime adaptability is often a crucial requirement for today's complex ...
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Model-Driven Architectural Monitoring and Adaptation for Autonomic Systems
Architectural monitoring and adaptation allows self-management capabilit...
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Towards Linking Adaptation Rules to the Utility Function for Dynamic Architectures
To benefit from utility-driven and rule-based approaches to self-adaptat...
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Efficient Utility-Driven Self-Healing Employing Adaptation Rules for Large Dynamic Architectures
Self-adaptation can be realized in various ways. Rule-based approaches p...
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