Making Components Contract Aware
Computer
An Architecture-Based Approach to Self-Adaptive Software
IEEE Intelligent Systems
Using Architecture Models for Runtime Adaptability
IEEE Software
Architecture-based self-adaptation in the presence of multiple objectives
Proceedings of the 2006 international workshop on Self-adaptation and self-managing systems
Software—Practice & Experience
Model-based system reconfiguration for dynamic performance management
Journal of Systems and Software
Genie: supporting the model driven development of reflective, component-based adaptive systems
Proceedings of the 30th international conference on Software engineering
From goals to components: a combined approach to self-management
Proceedings of the 2008 international workshop on Software engineering for adaptive and self-managing systems
Taming Dynamically Adaptive Systems using models and aspects
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Applying genetic algorithms to decision making in autonomic computing systems
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Software Engineering for Self-Adaptive Systems: A Research Roadmap
Software Engineering for Self-Adaptive Systems
A Case Study in Goal-Driven Architectural Adaptation
Software Engineering for Self-Adaptive Systems
MODELS '09 Proceedings of the 12th International Conference on Model Driven Engineering Languages and Systems
Parametric Performance Contracts for QML-specified Software Components
Electronic Notes in Theoretical Computer Science (ENTCS)
Managing dynamic reconfiguration in component-based systems
EWSA'05 Proceedings of the 2nd European conference on Software Architecture
Generating synchronization engines between running systems and their model-based views
MODELS'09 Proceedings of the 2009 international conference on Models in Software Engineering
Goal-driven adaptation of internetware
Proceedings of the Second Asia-Pacific Symposium on Internetware
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Self-adaptation is now a promising approach to maximize the satisfaction of requirements under changing environmental conditions. One of the key challenges for such self-adaptive systems is to automatically find a relevant architectural configuration. Existing approaches requires a set of adaptation strategies and the rough estimation of their side-effects. However, due to the lack of validation methods for such strategies and side-effects, existing approaches may lead to erroneous adaptations. Instead of side-effects, our solution leverages quality contracts whose accuracy can be separately established and which can be dynamically composed to get a quality prediction of any possible architectural configurations. To support self-adaptation, we propose a reactive planning algorithm which exploits quality contracts to dynamically discover unforeseen architectural configurations. We illustrate our approach using a running HTTP server adapting its architecture with respect to the number and the similarity of incoming requests.