Self-adaptive systems aim at autonomously achieving their objectives in a dynamic environment, adapting their behaviour to different circumstances. We claim that appropriate software engineering methodologies are needed to define and to model the information necessary for a system to perform autonomous diagnosis and decision making at runtime. In this short paper we focus on conceptual modelling for the design of self-adaptive software. Our design framework adopts a goal-oriented approach to specify variability in system requirements, coping with some limits of current goal modelling approaches
New challenges such as big data, ultra-large-scale services, and continuously available services are...
Challenges in the engineering of self-adaptive software have been recently discussed and summarised ...
Self-adaptive systems are able to autonomously adapt to changing user requirements and resource var...
Today's software is expected to be able to work autonomously in an unpredictable environment, avoidi...
Self-adaptive software aims at anticipating changes which occur in a complex environment and to auto...
Modern software systems operate in a continuously changing environment. To keep up with these change...
Self-adaptive software aims at anticipating changes which occur in a complex environment and to auto...
The goal of this roadmap paper is to summarize the state-of-the-art and to identify critical challen...
The increasing complexity and dynamics in which software systems are deployed call for solutions to ...
Modern software systems operate in a continuously changing environment. To keep up with these change...
The goal of this roadmap paper is to summarize the state-of-the-art and to identify critical challen...
Self-adaptive systems have the capability to autonomously modify their behaviour at run-time in resp...
The goal of this roadmap paper is to summarize the state-of-the-art and to identify critical challen...
To deal with the increasing complexity and uncertainty of software systems, novel software engineeri...
The behaviour of self adaptive systems can be emergent, which means that the system’s behaviour may ...
New challenges such as big data, ultra-large-scale services, and continuously available services are...
Challenges in the engineering of self-adaptive software have been recently discussed and summarised ...
Self-adaptive systems are able to autonomously adapt to changing user requirements and resource var...
Today's software is expected to be able to work autonomously in an unpredictable environment, avoidi...
Self-adaptive software aims at anticipating changes which occur in a complex environment and to auto...
Modern software systems operate in a continuously changing environment. To keep up with these change...
Self-adaptive software aims at anticipating changes which occur in a complex environment and to auto...
The goal of this roadmap paper is to summarize the state-of-the-art and to identify critical challen...
The increasing complexity and dynamics in which software systems are deployed call for solutions to ...
Modern software systems operate in a continuously changing environment. To keep up with these change...
The goal of this roadmap paper is to summarize the state-of-the-art and to identify critical challen...
Self-adaptive systems have the capability to autonomously modify their behaviour at run-time in resp...
The goal of this roadmap paper is to summarize the state-of-the-art and to identify critical challen...
To deal with the increasing complexity and uncertainty of software systems, novel software engineeri...
The behaviour of self adaptive systems can be emergent, which means that the system’s behaviour may ...
New challenges such as big data, ultra-large-scale services, and continuously available services are...
Challenges in the engineering of self-adaptive software have been recently discussed and summarised ...
Self-adaptive systems are able to autonomously adapt to changing user requirements and resource var...