Formal specification and validation of the MVM-Adapt system using Compositional I/O Abstract State Machines

To face complexity and scalability, the design of software-intensive systems requires the decomposition of the system into components, each modeled and analyzed separately from the others, and the composition of their analysis. Moreover, compositional model simulation is recognized as the only alternative available in practice when systems are large and complex, like in the cyber-physical domain, and intrinsically require combining the specification of ensembles of different parts (subsystems). Therefore, the need for simulation engines for composed model execution is getting a growing interest. Along this research line, this paper presents the results of the compositional modeling and validation by scenarios of an industrial medical system, called MVM-Adapt, that we designed as an adaptive version of an existing mechanical lung ventilator deployed and certified to treat pneumonia during the COVID-19 pandemic. We exploit the I/O Abstract State Machine formalism to model the device components as separate and interacting sub-systems that communicate through I/O events and adapt the device ventilation mode at run-time based on the health parameters of the patient. An orchestrated simulation coordinates the overall execution of these communicating I/O ASMs by exploiting suitable workflow patterns. This compositional simulation technique has proved to be useful in practice to validate the new adaptive MVM's behavior and thus to support architects in better understanding this new mode of operation of the prototyped system.

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Publication Details

Journal
Science of Computer Programming
Published
2025-03-17
DOI
https://doi.org/10.1016/j.scico.2025.103299
Citations
1
Primary Topic
Formal Methods in Verification
Type
article
Field-Weighted Citation Impact
1.50
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article

Formal specification and validation of the MVM-Adapt system using Compositional I/O Abstract State Machines

Elvinia Riccobene, Silvia Bonfanti, Patrizia Scandurra
1 citations
Science of Computer Programming
Formal Methods in Verification
1.50
article

Formal specification and validation of the MVM-Adapt system using Compositional I/O Abstract State Machines

Elvinia Riccobene, Silvia Bonfanti, Patrizia Scandurra
article en
1 citations

Abstract

To face complexity and scalability, the design of software-intensive systems requires the decomposition of the system into components, each modeled and analyzed separately from the others, and the composition of their analysis. Moreover, compositional model simulation is recognized as the only alternative available in practice when systems are large and complex, like in the cyber-physical domain, and intrinsically require combining the specification of ensembles of different parts (subsystems). Therefore, the need for simulation engines for composed model execution is getting a growing interest. Along this research line, this paper presents the results of the compositional modeling and validation by scenarios of an industrial medical system, called MVM-Adapt, that we designed as an adaptive version of an existing mechanical lung ventilator deployed and certified to treat pneumonia during the COVID-19 pandemic. We exploit the I/O Abstract State Machine formalism to model the device components as separate and interacting sub-systems that communicate through I/O events and adapt the device ventilation mode at run-time based on the health parameters of the patient. An orchestrated simulation coordinates the overall execution of these communicating I/O ASMs by exploiting suitable workflow patterns. This compositional simulation technique has proved to be useful in practice to validate the new adaptive MVM's behavior and thus to support architects in better understanding this new mode of operation of the prototyped system.

Science of Computer ProgrammingVol. 244
University of Bergamo (IT), University of Milan (IT)
Climate action
Openalex Percentile: Top 19%
Formal Methods in Verification
1.50
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Formal specification and validation of the MVM-Adapt system using Compositional I/O Abstract State Machines — Elvinia Riccobene, Silvia Bonfanti, et al. · Science of Computer Programming (2025) | TGRS Research Map | TGRS