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Author Mancini, T. ; Mari, F.; Massini, A.; Melatti, I.; Salvo, I.; Tronci, E. pdf  doi
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  Title On minimising the maximum expected verification time Type Journal Article
  Year 2017 Publication Information Processing Letters Abbreviated Journal  
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  Notes Approved no  
  Call Number Sapienza @ mari @ Serial 163  
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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
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  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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  Notes Approved no  
  Call Number Sapienza @ preissler @ Ehrig_etal2015 Serial 144  
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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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  Notes Approved no  
  Call Number MCLab @ davi @ DBLP:journals/fuin/ManciniMMMT16 Serial 160  
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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
openurl 
  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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  Notes Approved no  
  Call Number MCLab @ davi @ mancini-etal:2018:smartgridcomm Serial 170  
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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
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  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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  Notes Approved no  
  Call Number MCLab @ davi @ Serial 175  
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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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  Notes Approved no  
  Call Number MCLab @ davi @ Mancini2021100640 Serial 183  
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Author Sinisi, S.; Alimguzhin, V.; Mancini, T.; Tronci, E.; Mari, F.; Leeners, B. pdf  doi
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  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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  Publisher IOS Press Place of Publication Editor  
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  ISSN 1875-8681 ISBN Medium  
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  Notes Approved no  
  Call Number MCLab @ davi @ Serial 187  
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Author Melatti, I.; Mari, F.; Mancini, T.; Prodanovic, M.; Tronci, E. pdf  doi
openurl 
  Title A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries Type Journal Article
  Year 2021 Publication IEEE Transactions on Industrial Electronics Abbreviated Journal  
  Volume Issue Pages 1-1  
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  Abstract Within electrical distribution networks, substation constraints management requires that aggregated power demand from residential users is kept within suitable bounds. Efficiency of substation constraints management can be measured as the reduction of constraints violations w.r.t. unmanaged demand. Home batteries hold the promise of enabling efficient and user-oblivious substation constraints management. Centralized control of home batteries would achieve optimal efficiency. However, it is hardly acceptable by users, since service providers (e.g., utilities or aggregators) would directly control batteries at user premises. Unfortunately, devising efficient hierarchical control strategies, thus overcoming the above problem, is far from easy. We present a novel two-layer control strategy for home batteries that avoids direct control of home devices by the service provider and at the same time yields near-optimal substation constraints management efficiency. Our simulation results on field data from 62 households in Denmark show that the substation constraints management efficiency achieved with our approach is at least 82% of the one obtained with a theoretical optimal centralized strategy.  
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  Notes To appear Approved no  
  Call Number MCLab @ davi @ ref9513535 Serial 190  
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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico pdf  openurl
  Title Linear Constraints as a Modeling Language for Discrete Time Hybrid Systems Type Conference Article
  Year 2012 Publication Proceedings of ICSEA 2012, The Seventh International Conference on Software Engineering Advances Abbreviated Journal  
  Volume Issue Pages 664-671  
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  Publisher ThinkMind Place of Publication Editor  
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  Notes Approved yes  
  Call Number Sapienza @ mari @ icsea12 Serial 98  
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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico pdf  url
openurl 
  Title From Boolean Relations to Control Software Type Conference Article
  Year 2011 Publication Proceedings of ICSEA 2011, The Sixth International Conference on Software Engineering Advances Abbreviated Journal  
  Volume Issue Pages 528-533  
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  Abstract Many software as well digital hardware automatic synthesis methods define the set of implementations meeting the given system specifications with a boolean relation K. In such a context a fundamental step in the software (hardware) synthesis process is finding effective solutions to the functional equation defined by K. This entails finding a (set of) boolean function(s) F (typically represented using OBDDs, Ordered Binary Decision Diagrams) such that: 1) for all x for which K is satisfiable, K(x, F(x)) = 1 holds; 2) the implementation of F is efficient with respect to given implementation parameters such as code size or execution time. While this problem has been widely studied in digital hardware synthesis, little has been done in a software synthesis context. Unfortunately the approaches developed for hardware synthesis cannot be directly used in a software context. This motivates investigation of effective methods to solve the above problem when F has to be implemented with software. In this paper we present an algorithm that, from an OBDD representation for K, generates a C code implementation for F that has the same size as the OBDD for F and a WCET (Worst Case Execution Time) linear in nr, being n = |x| the number of input arguments for functions in F and r the number of functions in F.  
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  ISSN 978-1-61208-165-6 ISBN Medium  
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  Notes Best Paper Award Approved yes  
  Call Number Sapienza @ mari @ icsea11 Serial 14  
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