SyLVaaS: System Level Formal Verification as a Service*

Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico

doi:10.3233/fi-2016-1444

Cited by 20 publications

(24 citation statements)

References 62 publications

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“…In the typical case (as ours) in which model inputs are drug administrations, VPH models can be abstracted into Discrete Event Systems (DESs) (see, e.g., [23,27]), i.e., continuous-time input-state-output deterministic causal dynamical systems [38] whose input functions are discrete event sequences.…”

Section: Formalising the Virtual Physiological Human (Vph) Modelmentioning

confidence: 99%

“…The use of continuous-time monitors embedded in the VPH model gives us a flexible way to model both bounded safety and bounded liveness properties (see, e.g., [25,27] for a use of monitors to define safety properties for cyber-physical systems).…”

Section: Modelling Treatment Invariants and Goalsmentioning

confidence: 99%

“…In order to drive the VPH model simulator, our algorithm assumes that it accepts a set of basic commands (which are available or can be readily implemented within most modern simulators [27]) in order to: (i) set given values (λ, the VP at hand) for the model parameters; (ii) prepare the model to be simulated from its initial state; (iii) inject a clinical action (i.e., administer a drug dose) and advance the simulation by time τ (e.g., 1 day); (iv) rollback to a previous simulation state. A simulation campaign (see, e.g., [26]) is a sequence of such simulator commands.…”

Section: Vph Model Simulationmentioning

confidence: 99%

“…As outlined in Section 4.1, such VPH models are hybrid systems that can be abstracted into Discrete Event Systems (DESs) (see, e.g., [23,27]) whose inputs are discrete event sequences. To find an optimal treatment means to find an optimal plan in hybrid domains, where the behaviour of the given system is described by both discrete and continuous quantities.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction.

Mancini

Mari

Massini

et al. 2018

EasyChair Preprints

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Abstract. In-Silico Clinical Trials (ISCT), i.e., clinical experimental campaigns carried out by means of computer simulations, hold the promise to decrease time and cost for the safety and efficacy assessment of pharmacological treatments, reduce the need for animal and human testing, and enable precision medicine. In this paper we present a case study aiming at quantifying, by means of a multi-arm ISCT supervised by intelligent search, the potential impact of precision medicine approaches on a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction.

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Section: Formalising the Virtual Physiological Human (Vph) Modelmentioning

confidence: 99%

Section: Modelling Treatment Invariants and Goalsmentioning

confidence: 99%

Section: Vph Model Simulationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction.

Mancini

Mari

Massini

et al. 2018

EasyChair Preprints

Self Cite

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“…From now on, we assume that whenever we need to use geographic coordinates, they will be first transformed accordingly into coordinates of the above system. Any region in A not belonging to the MA will be managed by defining forbidden placement (akin to unadmissible scenarios in [24]) and link areas in A (see Section 3.2).…”

Section: Monitored Area Discretisationmentioning

confidence: 99%

Optimal Fault-Tolerant Placement of Relay Nodes in a Mission Critical Wireless Network

Mancini¹,

Tronci²,

Scialanca³

et al. 2018

EasyChair Preprints

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Abstract. The operations of many critical infrastructures (e.g., airports) heavily depend on proper functioning of the radio communication network supporting operations. As a result, such a communication network is indeed a mission-critical communication network that needs adequate protection from external electromagnetic interferences. This is usually done through radiogoniometers. Basically, by using at least three suitably deployed radiogoniometers and a gateway gathering information from them, sources of electromagnetic emissions that are not supposed to be present in the monitored area can be localised. Typically, relay nodes are used to connect radiogoniometers to the gateway. As a result, some degree of fault-tolerance for the network of relay nodes is essential in order to offer a reliable monitoring. On the other hand, deployment of relay nodes is typically quite expensive. As a result, we have two conflicting requirements: minimise costs while guaranteeing a given fault-tolerance. In this paper address the problem of computing a deployment for relay nodes that minimises the relay node network cost while at the same time guaranteeing proper working of the network even when some of the relay nodes (up to a given maximum number) become faulty (fault-tolerance). We show that the above problem can be formulated as a Mixed Integer Linear Programming (MILP) as well as a Pseudo-Boolean Satisfiability (PB-SAT) optimisation problem and present experimental results comparing the two approaches on realistic scenarios.

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Verification algebra for multi‐tenant applications in VaaS architecture

Wan

Kan

et al. 2021

Software Testing Verif & Rel

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Summary This paper proposes an algebraic system, verification algebra (VA), for reducing the number of component combinations to be verified in multi‐tenant architecture (MTA). MTA is a design architecture used in SaaS (Software‐as‐a‐Service) where a tenant can customize its applications by integrating services already stored in the SaaS databases or newly supplied services. Similar to SaaS, VaaS (Verification‐as‐a‐Service) is a verification service in a cloud that leverages the computing power offered by a cloud environment with automated provisioning, scalability and service composition. In VaaS architecture, however, there is a challenging problem called ‘combinatorial explosion’ that it is difficult to verify a large number of compositions constructed by both quantities of components and various combination structures even with computing resources in cloud. This paper proposes rules to emerge combinations status for future verification, on the basis of the existing results. Both composition patterns and properties are considered and analysed in VA rules.

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SyLVaaS: System Level Formal Verification as a Service*

Cited by 20 publications

References 62 publications

Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction.

Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction.

Optimal Fault-Tolerant Placement of Relay Nodes in a Mission Critical Wireless Network

Verification algebra for multi‐tenant applications in VaaS architecture

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