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On-line model checking is a variant of model checking that evaluates properties of a system concurrently while deployed, which allows overcoming limitations of inaccurate system models. In this paper we conduct a laser tracheotomy case study to evaluate the feasibility of using the statistical model checker UPPAAL-SMC for on-line model checking in a medical application. Development of automatic on-line model checking relies on the precision of the prediction and real-time capabilities as real-time requirements must be met. We evaluate the case study with regards to these qualities and our results show that using UPPAAL-SMC in an on-line model checking context is practical: relative prediction errors were only 2% on average and guarantees could be established within reasonable time during our experiments.
@InProceedings{ma_et_al:OASIcs.MCPS.2014.100,
author = {Ma, Xintao and Rinast, Jonas and Schupp, Sibylle and Gollmann, Dieter},
title = {{Evaluating On-line Model Checking in UPPAAL-SMC using a Laser Tracheotomy Case Study}},
booktitle = {5th Workshop on Medical Cyber-Physical Systems},
pages = {100--112},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-939897-66-8},
ISSN = {2190-6807},
year = {2014},
volume = {36},
editor = {Turau, Volker and Kwiatkowska, Marta and Mangharam, Rahul and Weyer, Christoph},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.MCPS.2014.100},
URN = {urn:nbn:de:0030-drops-45279},
doi = {10.4230/OASIcs.MCPS.2014.100},
annote = {Keywords: On-line Model Checking, Laser Tracheotomy, UPPAAL-SMC, Patient-in-the-loop}
}