Article citationsMore>>

Abascal, J., de Castro, I.F., Lafuente, A. and Cia, J.M. (2008) Adaptive Interfaces for Supportive Ambient Intelligence Environments. Computers Helping People with Special Needs. Lecture Notes in Computer Science, 5105, 30-37.

has been cited by the following article:

• TITLE: Models, AmI-Creator and A-Methodology for Ambient Intelligence Environments

  AUTHORS: Anna Chambers

  KEYWORDS: Ambient Intelligence, DSL, MDD, SE, AmI-E Development

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.7 No.4, April 24, 2014

  ABSTRACT: The current paper introduces an approach to a development of Ambient Intelligence domain-based software systems from scratch. The presented approach is based on models. The paper also presents the domain-related models expressing different levels of abstractions and stages of the development. The approach refers to a Model-Driven Development of Ambient Intelligence which was suggested at AmI-07-Ambient Intelligence conference. The approach is presented as a standard with its feasible realization. It starts from modeling of a content of the future AmI-dedicated software system and concludes by mapping the graphical concepts into a final code. A process proving feasibility and correctness of the approach is provided through a dedicated research methodology. Its process comprises an identification of needs in a speedy development of the systems. It is followed by studying of the currently available techniques capable of supporting the development and an experimenting with them. It continues by finding a solution, verified by its validation and concludes by an identification of the further perspectives. The developed approach presents a common way of a communication amongst stakeholders participating in creating of AmI-based environments. Such communication involves the notations of AmI-Creator—a Domain-Specific Language of Ambient Intelligence domain. Every part of DSL corresponds to a demonstration of A-methodology expressing a step-by-step guidance for the development. The methodology comprises two parts dedicated to providing semantics for DSL through studying of Ambient Intelligence domain ontology; and development of actual environments. A validity of the working proposition is confirmed by three examples. The further challenges refer to an extension of the presented work by other frameworks and expansion to a development of different domains with complex organizations.