Self-adaptation is a promising approach to manage the complexity of modern software systems. A self-adaptive system is able to adapt autonomously to internal dynamics and changing conditions in the environment to achieve particular quality goals. Our particular interest is in decentralized self-adaptive systems, in which central control of adaptation is not an option. One important challenge in self-adaptive systems, in particular those with decentralized control of adaptation, is to provide guar-antees about the intended runtime qualities. In this paper, we present a case study in which we use model checking to verify behavioral properties of a decentralized self-adaptive system. Concretely, we contribute with a formalized architecture mod...
Modern software systems are increasingly characterized by uncertainties in the operating context and...
The MAPE-K (Monitor-Analyze-Plan-Execute over a shared Knowledge) feedback loop is the most influent...
Designing software systems with uncertainties, such as incomplete knowledge about changing system go...
Self-adaptation is a promising approach to manage the complexity of modern software systems. A self-...
Ensuring the required qualities of software systems that have to operate in highly dynamic environme...
One major challenge in self-adaptive systems is to assure the required quality properties. Formal me...
Self-adaptation has been widely recognized as an effective approach to deal with the increasing comp...
Self-adaptability has been proposed as an effective approach to deal with the increasing complexity,...
Self-adaptability has been proposed as an effective approach to deal with the increasing complexity,...
Feedback control loops that monitor and adapt managed parts of a software system are considered cruc...
Feedback control loops that monitor and adapt managed parts of a software system are considered cruc...
Designing software systems with uncertainties, such as incomplete knowledge about changing system go...
Designing software systems with uncertainties, such as incomplete knowledge about changing system go...
Self-adaptive systems autonomously adapt their behavior at run-time to react to internal dynamics an...
Software systems in domains like Smart Cities, the Internet of Things or autonomous cars are coined ...
Modern software systems are increasingly characterized by uncertainties in the operating context and...
The MAPE-K (Monitor-Analyze-Plan-Execute over a shared Knowledge) feedback loop is the most influent...
Designing software systems with uncertainties, such as incomplete knowledge about changing system go...
Self-adaptation is a promising approach to manage the complexity of modern software systems. A self-...
Ensuring the required qualities of software systems that have to operate in highly dynamic environme...
One major challenge in self-adaptive systems is to assure the required quality properties. Formal me...
Self-adaptation has been widely recognized as an effective approach to deal with the increasing comp...
Self-adaptability has been proposed as an effective approach to deal with the increasing complexity,...
Self-adaptability has been proposed as an effective approach to deal with the increasing complexity,...
Feedback control loops that monitor and adapt managed parts of a software system are considered cruc...
Feedback control loops that monitor and adapt managed parts of a software system are considered cruc...
Designing software systems with uncertainties, such as incomplete knowledge about changing system go...
Designing software systems with uncertainties, such as incomplete knowledge about changing system go...
Self-adaptive systems autonomously adapt their behavior at run-time to react to internal dynamics an...
Software systems in domains like Smart Cities, the Internet of Things or autonomous cars are coined ...
Modern software systems are increasingly characterized by uncertainties in the operating context and...
The MAPE-K (Monitor-Analyze-Plan-Execute over a shared Knowledge) feedback loop is the most influent...
Designing software systems with uncertainties, such as incomplete knowledge about changing system go...