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A Model-Checking-Based Framework For Analyzing Ambient Assisted Living Solutions


Publication Type:

Report - MRTC


Mälardalen Real-Time Research Centre, Mälardalen University




Since modern ambient assisted living solutions integrate a multitude of assisted-living functionalities within a common design framework, some are safety-critical, it is desirable that these systems are analyzed already at their design stage to detect possible errors. To achieve this, one needs suitable architectures that support the seamless design of the integrated assisted-living functions, as well as capabilities for the formal modeling and analysis of the architecture. In this paper, we attempt to address this need, by proposing a generic integrated ambient assisted living system architecture, consisting of sensors, data-collector, local and cloud processing schemes, and an intelligent decision support system, which can be easily extended to suite specific architecture categories. Our solution is customizable, therefore, we show three instantiations of the generic model, as simple, intermediate and complex configuration, respectively, and show how to analyze the first and third categories by model checking. Our approach starts by specifying the architecture, using an architecture description language, in our case, the Architecture Analysis and Design Language that can also account for the probabilistic behavior of such systems. To enable formal analysis, we describe the semantics of the simple and complex categories as stochastic timed automata. The former we model check exhaustively with UPPAAL, whereas for the latter we employ statistical model checking using UPPAAL SMC, the statistical extension of UPPAAL, for scalability reasons.


author = {Ashalatha Kunnappilly and Raluca Marinescu and Cristina Seceleanu},
title = {A Model-Checking-Based Framework For Analyzing Ambient Assisted Living Solutions},
month = {March},
year = {2019},
publisher = {M{\"a}lardalen Real-Time Research Centre, M{\"a}lardalen University},
url = {}