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Author Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico pdf  doi
openurl 
  Title SyLVaaS: System Level Formal Verification as a Service Type Conference Article
  Year 2015 Publication Proceedings of the 23rd Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2015), special session on Formal Approaches to Parallel and Distributed Systems (4PAD) Abbreviated Journal  
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  Notes Approved (up) no  
  Call Number MCLab @ davi @ Serial 123  
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Author Toni Mancini; Enrico Tronci; Ivano Salvo; Federico Mari; Annalisa Massini; Igor Melatti pdf  doi
openurl 
  Title Computing Biological Model Parameters by Parallel Statistical Model Checking Type Journal Article
  Year 2015 Publication International Work Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2015) Abbreviated Journal  
  Volume 9044 Issue Pages 542-554  
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  Call Number MCLab @ davi @ Serial 124  
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Author Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico pdf  url
doi  openurl
  Title Simulator Semantics for System Level Formal Verification Type Conference Article
  Year 2015 Publication Proceedings Sixth International Symposium on Games, Automata, Logics and Formal Verification (GandALF 2015), Abbreviated Journal  
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  Notes Approved (up) no  
  Call Number MCLab @ davi @ Serial 125  
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. pdf  url
doi  openurl
  Title Anytime system level verification via parallel random exhaustive hardware in the loop simulation Type Journal Article
  Year 2016 Publication Microprocessors and Microsystems Abbreviated Journal  
  Volume 41 Issue Pages 12-28  
  Keywords Model Checking of Hybrid Systems; Model checking driven simulation; Hardware in the loop simulation  
  Abstract Abstract System level verification of cyber-physical systems has the goal of verifying that the whole (i.e., software + hardware) system meets the given specifications. Model checkers for hybrid systems cannot handle system level verification of actual systems. Thus, Hardware In the Loop Simulation (HILS) is currently the main workhorse for system level verification. By using model checking driven exhaustive HILS, System Level Formal Verification (SLFV) can be effectively carried out for actual systems. We present a parallel random exhaustive HILS based model checker for hybrid systems that, by simulating all operational scenarios exactly once in a uniform random order, is able to provide, at any time during the verification process, an upper bound to the probability that the System Under Verification exhibits an error in a yet-to-be-simulated scenario (Omission Probability). We show effectiveness of the proposed approach by presenting experimental results on SLFV of the Inverted Pendulum on a Cart and the Fuel Control System examples in the Simulink distribution. To the best of our knowledge, no previously published model checker can exhaustively verify hybrid systems of such a size and provide at any time an upper bound to the Omission Probability.  
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  ISSN 0141-9331 ISBN Medium  
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  Notes Approved (up) no  
  Call Number MCLab @ davi @ Mancini201612 Serial 155  
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Author Sinisi, S.; Alimguzhin, V.; Mancini, T.; Tronci, E.; Mari, F.; Leeners, B. pdf  doi
openurl 
  Title Optimal Personalised Treatment Computation through In Silico Clinical Trials on Patient Digital Twins Type Journal Article
  Year 2020 Publication Abbreviated Journal Fundamenta Informaticae  
  Volume 174 Issue Pages 283-310  
  Keywords Artificial Intelligence; Virtual Physiological Human; In Silico Clinical Trials; Simulation; Personalised Medicine; In Silico Treatment Optimisation  
  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 methods and an algorithm that, by means of extensive computer simulation-based experimental campaigns (ISCT) guided by intelligent search, optimise a pharmacological treatment for an individual patient (precision medicine ). We show the effectiveness of our approach on a case study involving a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction in humans.  
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  ISSN 1875-8681 ISBN Medium  
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  Notes Approved (up) no  
  Call Number MCLab @ davi @ Serial 187  
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. pdf  url
doi  openurl
  Title On Checking Equivalence of Simulation Scripts Type Journal Article
  Year 2021 Publication Journal of Logical and Algebraic Methods in Programming Abbreviated Journal  
  Volume Issue Pages 100640  
  Keywords Formal verification, Simulation based formal verification, Formal Verification of cyber-physical systems, System-level formal verification  
  Abstract To support Model Based Design of Cyber-Physical Systems (CPSs) many simulation based approaches to System Level Formal Verification (SLFV) have been devised. Basically, these are Bounded Model Checking approaches (since simulation horizon is of course bounded) relying on simulators to compute the system dynamics and thereby verify the given system properties. The main obstacle to simulation based SLFV is the large number of simulation scenarios to be considered and thus the huge amount of simulation time needed to complete the verification task. To save on computation time, simulation based SLFV approaches exploit the capability of simulators to save and restore simulation states. Essentially, such a time saving is obtained by optimising the simulation script defining the simulation activity needed to carry out the verification task. Although such approaches aim to (bounded) formal verification, as a matter of fact, the proof of correctness of the methods to optimise simulation scripts basically relies on an intuitive semantics for simulation scripting languages. This hampers the possibility of formally showing that the optimisations introduced to speed up the simulation activity do not actually omit checking of relevant behaviours for the system under verification. The aim of this paper is to fill the above gap by presenting an operational semantics for simulation scripting languages and by proving soundness and completeness properties for it. This, in turn, enables formal proofs of equivalence between unoptimised and optimised simulation scripts.  
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  ISSN 2352-2208 ISBN Medium  
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  Call Number MCLab @ davi @ Mancini2021100640 Serial 183  
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Salvo, I.; Sinisi, S.; Tronci, E.; Ehrig, R.; Röblitz, S.; Leeners, B. pdf  doi
openurl 
  Title Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction Type Conference Article
  Year 2018 Publication 25th RCRA International Workshop on “Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion” (RCRA 2018) Abbreviated Journal  
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  Call Number MCLab @ davi @ Serial 175  
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.; Hayes, B.; Prodanovic, M.; Elmegaard, L. pdf  doi
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  Title Parallel Statistical Model Checking for Safety Verification in Smart Grids Type Conference Article
  Year 2018 Publication 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Abbreviated Journal  
  Volume Issue Pages 1-6  
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  Call Number MCLab @ davi @ mancini-etal:2018:smartgridcomm Serial 170  
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. pdf  doi
openurl 
  Title SyLVaaS: System Level Formal Verification as a Service Type Journal Article
  Year 2016 Publication Fundamenta Informaticae Abbreviated Journal  
  Volume 149 Issue 1-2 Pages 101-132  
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  Call Number MCLab @ davi @ DBLP:journals/fuin/ManciniMMMT16 Serial 160  
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Author Ehrig, R.; Dierkes, T.; Schaefer, S.; Roeblitz, S.; Tronci, E.; Mancini, T.; Salvo, I.; Alimguzhin, V.; Mari, F.; Melatti, I.; Massini, A.; Leeners, B.; Krueger, T.H.C.; Egli, M.; Ille, F. pdf  url
doi  openurl
  Title An integrative approach for model driven computation of treatments in reproductive medicine Type Conference Article
  Year 2015 Publication Proceedings of the 15th International Symposium on Mathematical and Computational Biology (BIOMAT 2015), Rorkee, India Abbreviated Journal  
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  Call Number Sapienza @ preissler @ Ehrig_etal2015 Serial 144  
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