2020
Conference article  Open Access

30 years of simulation-based quantitative analysis tools: a comparison experiment between Möbius and Uppaal SMC

Basile D., Ter Beek M. H., Di Giandomenico F., Fantechi A., Gnesi S., Spagnolo G. O.

Stochastic model-based analysis  Möbius  Statistical Model Checking  Railways  Stochastic Hybrid Automata  Uppaal SMC  Cyber-Physical Systems  Stochastic Activity Networks  Tool comparison  Quantitative analysis 

We provide a brief comparison of the modelling and analysis capabilities of two different formalisms and their associated simulation-based tools, acquired from experimenting with these methods and tools on one specific case study. The case study is a cyber-physical system from an industrial railway project, namely a railroad switch heater, and the quantitative properties concern energy consumption and reliability. We modelled and analysed the case study with stochastic activity networks and Möbius on the one hand and with stochastic hybrid automata and Uppaal SMC on the other hand. We give an overview of the performed experiments and highlight specific features of the two methodologies. This yields some pointers for future research and improvements.

Source: ISoLA 2020 - 9th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation: Verification Principles, pp. 368–384, Rhodes, Greece, 20-30/10/2020

Publisher: Springer, Berlin, DEU


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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:434871,
	title = {30 years of simulation-based quantitative analysis tools: a comparison experiment between Möbius and Uppaal SMC},
	author = {Basile D. and Ter Beek M. H. and Di Giandomenico F. and Fantechi A. and Gnesi S. and Spagnolo G. O.},
	publisher = {Springer, Berlin, DEU},
	doi = {10.1007/978-3-030-61362-4_21},
	booktitle = {ISoLA 2020 - 9th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation: Verification Principles, pp. 368–384, Rhodes, Greece, 20-30/10/2020},
	year = {2020}
}