This item is available under a Creative Commons License for non-commercial use only
This article focuses on describing a Model Driven Archi- tecture (COCA-MDA) approach that facilitates the develop- ment of self-adaptive application for indoor wayfinding for individuals with cognitive impairments. COCA-MDA pro- vides the following benefits: 1) It enables the architecture to anticipate several behavioural variations based on the context and the specific needs of the individuals with cog- nitive impairments. 2) It enables the application to proac- tively anticipate or reactively address unforeseen changes through support by a dynamic-decision making and policy framework. The policy framework is based on a stable de- scription of software models and proprieties. 3) It can de- compose the application into several architectural units to allow developers to decide which part of the architecture should be notified when a specific context condition occurs.
Magableh, B., Barrett, S. (2018) Self-adaptive application for indoor wayfinding for individuals with cognitive impairments,” in The 24th IEEE International Symposium on Computer-Based Medical Systems, ser. CBMS 2011, vol. 1, Lancaster, UK, June 2011, pp. 45–49.