Abstract
Designing and developing software for an ambient intelligence (AmI) system involves difficult challenges related to the varied roles of many heterogeneous devices and communication channels, and intelligent user interfaces. Because ambient systems have unpredictable requirements and are context-aware, software designs must support dynamic and sustainable change. We argue that such designs should utilize formal methods and aspect-oriented techniques, to help in supporting model validation and verification. Features of an aspect-oriented, multi-agent, architectural description language are presented as a mechanism for reasoning about cross-cutting concerns.
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