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

Towards Qualitative and Quantitative Dependability Analyses for AR-equipped Socio-technical Systems


Publication Type:

Conference/Workshop Paper


5th International Conference on System Reliability and Safety




Augmented Reality technologies are becoming essential components in various socio-technical systems. New kinds of risks, however, may emerge if the concertation between AR, other technical components and socio-components is not properly designed. To do that, it is necessary to extend techniques for risk assessment to capture such new risks. This may require the extension of modelling languages and analysis techniques. In the literature, modeling languages have been already extended by including specific language constructs for socio aspects in relation to the AR-impact. No satisfying contribution is available regarding analysis techniques. Hence, to contribute to filling the gap, in this paper, we propose an extension of previously existing analysis techniques. Specifically, we build on top of the synergy of qualitative and quantitative dependability analysis techniques and we extend it with the capability of benefiting from AR-related modelled aspects. In addition, we apply our proposed extension to an illustrative example. Finally, we provide discussion and sketch future work.


@inproceedings{Sheikh Bahaei6324,
author = {Soheila Sheikh Bahaei and Barbara Gallina},
title = {Towards Qualitative and Quantitative Dependability Analyses for AR-equipped Socio-technical Systems},
month = {November},
year = {2021},
booktitle = {5th International Conference on System Reliability and Safety},
url = {}