Abstract
Abstract—Modern software systems need to be continuously
available under varying conditions. Their ability to dynamically
adapt to their execution context is thus increasingly seen as a
key to their success. Recently, many approaches were proposed
to design and support the execution of Dynamically Adaptive
Systems (DAS). However, the ability of a DAS to evolve is
limited to the addition, update or removal of adaptation rules
or reconfiguration scripts. These artifacts are very specific to
the control loop managing such a DAS and runtime evolution
of the DAS requirements may affect other parts of the DAS. In
this paper, we argue to evolve all parts of the loop. We suggest
leveraging recent advances in model-driven techniques to offer
an approach that supports the evolution of both systems and
their adaptation capabilities. The basic idea is to consider the
control loop itself as an adaptive system.
available under varying conditions. Their ability to dynamically
adapt to their execution context is thus increasingly seen as a
key to their success. Recently, many approaches were proposed
to design and support the execution of Dynamically Adaptive
Systems (DAS). However, the ability of a DAS to evolve is
limited to the addition, update or removal of adaptation rules
or reconfiguration scripts. These artifacts are very specific to
the control loop managing such a DAS and runtime evolution
of the DAS requirements may affect other parts of the DAS. In
this paper, we argue to evolve all parts of the loop. We suggest
leveraging recent advances in model-driven techniques to offer
an approach that supports the evolution of both systems and
their adaptation capabilities. The basic idea is to consider the
control loop itself as an adaptive system.
