You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact

Assuring Intelligent Ambient Assisted Living Solutions by Statistical Model Checking


Publication Type:

Conference/Workshop Paper


8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation


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.


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 = {}