Adopting patterns, i.e. reusable solutions to generic problems, turns out to be useful to rely on tested solutions and to avoid reinventing the wheel. To this aim, we proposed to use adaptation patterns to build systems that exhibit self-adaptive features. However, these patterns would be more usable if integrated in a methodology exploited to develop a system. In this paper we show how our Catalogue of adaptation patterns can be integrated into methodologies for adaptive systems; more in detail, we consider methodologies which support the development of multi-agent systems that can be considered good examples of adaptive systems. The paper, in particular, shows the integration of our Catalogue of adaptive patterns into the PASSI methodolog...
Control data variants of game models such as Interface Automata are suitable for the design and anal...
The engineering of software systems enables developers to create very powerful, complex and highly c...
Building adaptive systems with predictable emergent behavior is a challenging task and it is becomin...
Adopting patterns, i.e. reusable solutions to generic problems, turns out to be useful to rely on te...
Self-adaptive systems are distributed computing systems that can adapt their behavior and structure ...
Agent systems represent a very good example of complex and self-adaptive systems. Adaptation must be...
Self-adaptive systems are distributed computing systems composed of different components that can ad...
Autonomic systems are able to adapt themselves to unpredicted and unexpected situations. Such adapta...
In this position paper we present a conceptual vision of adaptation, a key feature of autonomic syst...
Developing architectural support for self-adaptive systems, i.e. systems that are able to autonomous...
(Conférencier invité)International audienceNowadays and in the near future, the complexity of comput...
The complexity of current software systems requires the ability to adapt at run-time, and the develo...
Self-adaptation is the ability of a software system to adapt to dynamic and changing operating condi...
Self-adaptation is the ability of a software system to adapt to dynamic and changing operating condi...
Building adaptive systems with predictable emergent behavior is a challenging task and it is becomin...
Control data variants of game models such as Interface Automata are suitable for the design and anal...
The engineering of software systems enables developers to create very powerful, complex and highly c...
Building adaptive systems with predictable emergent behavior is a challenging task and it is becomin...
Adopting patterns, i.e. reusable solutions to generic problems, turns out to be useful to rely on te...
Self-adaptive systems are distributed computing systems that can adapt their behavior and structure ...
Agent systems represent a very good example of complex and self-adaptive systems. Adaptation must be...
Self-adaptive systems are distributed computing systems composed of different components that can ad...
Autonomic systems are able to adapt themselves to unpredicted and unexpected situations. Such adapta...
In this position paper we present a conceptual vision of adaptation, a key feature of autonomic syst...
Developing architectural support for self-adaptive systems, i.e. systems that are able to autonomous...
(Conférencier invité)International audienceNowadays and in the near future, the complexity of comput...
The complexity of current software systems requires the ability to adapt at run-time, and the develo...
Self-adaptation is the ability of a software system to adapt to dynamic and changing operating condi...
Self-adaptation is the ability of a software system to adapt to dynamic and changing operating condi...
Building adaptive systems with predictable emergent behavior is a challenging task and it is becomin...
Control data variants of game models such as Interface Automata are suitable for the design and anal...
The engineering of software systems enables developers to create very powerful, complex and highly c...
Building adaptive systems with predictable emergent behavior is a challenging task and it is becomin...