Understanding and Using Context
Personal and Ubiquitous Computing
The Vision of Autonomic Computing
Computer
Model-driven Development of Complex Software: A Research Roadmap
FOSE '07 2007 Future of Software Engineering
Model-driven architectural monitoring and adaptation for autonomic systems
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Engineering Self-Adaptive Systems through Feedback Loops
Software Engineering for Self-Adaptive Systems
Computer
Adaptation and abstract runtime models
Proceedings of the 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems
Requirements reflection: requirements as runtime entities
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Incremental model synchronization for efficient run-time monitoring
MODELS'09 Proceedings of the 2009 international conference on Models in Software Engineering
Requirements and assessment of languages and frameworks for adaptation models
MODELS'11 Proceedings of the 2011th international conference on Models in Software Engineering
Graph transformations for MDE, adaptation, and models at runtime
SFM'12 Proceedings of the 12th international conference on Formal Methods for the Design of Computer, Communication, and Software Systems: formal methods for model-driven engineering
Modeling the linguistic architecture of software products
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
Model-Driven Engineering of Self-Adaptive Software with EUREMA
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Section on Best Papers from SEAMS 2012
Adaptable, model-driven security engineering for SaaS cloud-based applications
Automated Software Engineering
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In model-driven software development a multitude of interrelated models are used to systematically realize a software system. This results in a complex development process since the models and the relations between the models have to be managed. Similar problems appear when following a model-driven approach for managing software systems at runtime. A multitude of interrelated runtime models are employed simultaneously, and thus they have to be maintained at runtime. While for the development case megamodels have emerged to address the problem of managing models and relations, the problem is rather neglected for the case of runtime models by applying ad-hoc solutions. Therefore, we propose to utilize megamodel concepts for the case of multiple runtimemodels. Based on the current state of research, we present a categorization of runtimemodels and conceivable relations between them. The categorization describes the role of interrelated models at runtime and demonstrates that several approaches already employ multiple runtime models and relations. Then, we show how megamodel concepts help in organizing and utilizing runtime models and relations in amodel-driven manner while supporting a high level of automation. Finally, the role of interrelated models and megamodels at runtime is discussed for self-adaptive software systems and exemplified by a case study.