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Assuring Intelligent Ambient Assisted Living Solutions by Statistical Model Checking
Publication Type:
Conference/Workshop Paper
Venue:
8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation
Abstract
A modern way of enhancing the elderly people's quality of life is by employing
various Ambient Assisted Living (AAL) solutions that facilitate an independent
and safe living for their users. This is achieved by integrating computerized
functions such as health and home monitoring, fall detection, reminders, etc.
Such systems are safety critical, therefore ensuring already at design time
that they operate correctly, but also in a timely and robust manner is
beneficial. Most of the solutions are not analyzed formally at design time, especially if such AAL functions are integrated within the same design. To address this concern, we propose a framework that
relies on an abstract component-based description of the system's architecture in the
Architecture Analysis and Design Language, which we transform into a network
of stochastic timed automata amenable to statistical analysis of various
quality-of-service attributes. The architecture that we analyze is developed as part of the project CAMI, co-financed by the European Commission, and consists of a variety of
health and home sensors, a data collector, local and cloud processing, as well as
an artificial-intelligence based decision support system. Our contribution paves the way towards achieving design-time
assured integrated AAL solutions, which in turn could reduce verification
effort at later stages.
Bibtex
@inproceedings{Kunnappilly5198,
author = {Ashalatha Kunnappilly and Raluca Marinescu and Cristina Seceleanu},
title = {Assuring Intelligent Ambient Assisted Living Solutions by Statistical Model Checking},
month = {October},
year = {2018},
booktitle = {8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation},
url = {http://www.es.mdu.se/publications/5198-}
}