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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title Model Based Synthesis of Control Software from System Level Formal Specifications Type Journal Article
Year 2014 Publication ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY Abbreviated Journal (down) ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
Volume 23 Issue 1 Pages Article 6
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ISSN 1049-331X ISBN Medium
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Call Number Sapienza @ melatti @ Serial 110
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Author Tronci, E.; Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Prodanovic, M.; Gruber, J. K.; Hayes, B.; Elmegaard, L.
Title Demand-Aware Price Policy Synthesis and Verification Services for Smart Grids Type Conference Article
Year 2014 Publication Proceedings of Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference On Abbreviated Journal (down)
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Call Number Sapienza @ melatti @ Serial 121
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Author Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Tronci, Enrico
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 (down)
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Call Number MCLab @ davi @ Serial 123
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Author Tronci, E.; Mancini, T.; Salvo, I.; Mari, F.; Melatti, I.; Massini, A.; Sinisi, S.; Davì, F.; Dierkes, T.; Ehrig, R.; Röblitz, S.; Leeners, B.; Krüger, T.; Egli, M.; Ille, F.
Title Patient-Specific Models from Inter-Patient Biological Models and Clinical Records Type Conference Article
Year 2014 Publication Formal Methods in Computer-Aided Design (FMCAD) Abbreviated Journal (down)
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Call Number Sapienza @ mari @ Serial 120
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Author Tronci, E.; Mancini, T.; Mari, F.; Melatti, I.; Jacobsen, R. H.; Ebeid, E.; Mikkelsen, S. A.; Prodanovic, M.; Gruber, J. K.; Hayes, B.
Title SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation Type Conference Article
Year 2014 Publication Proceedings of the Work in Progress Session of SEAA/DSD 2014 Abbreviated Journal (down)
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ISSN ISBN 978-3-902457-40-0 Medium
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Call Number Sapienza @ mari @ Serial 119
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Author Kuijpers, Ed; Carotenuto, Luigi; Malapert, Jean-Cristophe; Markov-Vetter, Daniela; Melatti, Igor; Orlandini, Andrea; Pinchuk, Ranni
Title Collaboration on ISS Experiment Data and Knowledge Representation Type Conference Article
Year 2012 Publication Proc. of IAC 2012 Abbreviated Journal (down)
Volume D.5.11 Issue Pages
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Call Number Sapienza @ melatti @ Serial 107
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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title Quantized Feedback Control Software Synthesis from System Level Formal Specifications for Buck DC/DC Converters Type Report
Year 2011 Publication Abbreviated Journal (down)
Volume abs/1105.5640 Issue Pages
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Abstract Many Embedded Systems are indeed Software Based Control Systems (SBCSs), that is control systems whose controller consists of control software running on a microcontroller device. This motivates investigation on Formal Model Based Design approaches for automatic synthesis of SBCS control software. In previous works we presented an algorithm, along with a tool QKS implementing it, that from a formal model (as a Discrete Time Linear Hybrid System, DTLHS) of the controlled system (plant), implementation specifications (that is, number of bits in the Analog-to-Digital, AD, conversion) and System Level Formal Specifications (that is, safety and liveness requirements for the closed loop system) returns correct-by-construction control software that has a Worst Case Execution Time (WCET) linear in the number of AD bits and meets the given specifications. In this technical report we present full experimental results on using it to synthesize control software for two versions of buck DC-DC converters (single-input and multi-input), a widely used mixed-mode analog circuit.
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Publisher CoRR, Technical Report Place of Publication Editor
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Call Number Sapienza @ mari @ Serial 106
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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title From Boolean Functional Equations to Control Software Type Report
Year 2011 Publication Abbreviated Journal (down)
Volume abs/1106.0468 Issue Pages
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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) at most O(nr), being n = |x| the number of arguments of functions in F and r the number of functions in F.
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Publisher CoRR, Technical Report Place of Publication Editor
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Call Number Sapienza @ mari @ Serial 105
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Author Mancini, T. ; Mari, F.; Massini, A.; Melatti, I.; Salvo, I.; Tronci, E.
Title On minimising the maximum expected verification time Type Journal Article
Year 2017 Publication Information Processing Letters Abbreviated Journal (down)
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Call Number Sapienza @ mari @ Serial 163
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Author Mancini, T.; Melatti, I.; Tronci, E.
Title Any-horizon uniform random sampling and enumeration of constrained scenarios for simulation-based formal verification Type Journal Article
Year 2021 Publication IEEE Transactions on Software Engineering Abbreviated Journal (down)
Volume Issue Pages 1-1
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Abstract Model-based approaches to the verification of non-terminating Cyber-Physical Systems (CPSs) usually rely on numerical simulation of the System Under Verification (SUV) model under input scenarios of possibly varying duration, chosen among those satisfying given constraints. Such constraints typically stem from requirements (or assumptions) on the SUV inputs and its operational environment as well as from the enforcement of additional conditions aiming at, e.g., prioritising the (often extremely long) verification activity, by, e.g., focusing on scenarios explicitly exercising selected requirements, or avoiding </i>vacuity</i> in their satisfaction. In this setting, the possibility to efficiently sample at random (with a known distribution, e.g., uniformly) within, or to efficiently enumerate (possibly in a uniformly random order) scenarios among those satisfying all the given constraints is a key enabler for the practical viability of the verification process, e.g., via simulation-based statistical model checking. Unfortunately, in case of non-trivial combinations of constraints, iterative approaches like Markovian random walks in the space of sequences of inputs in general fail in extracting scenarios according to a given distribution (e.g., uniformly), and can be very inefficient to produce at all scenarios that are both legal (with respect to SUV assumptions) and of interest (with respect to the additional constraints). For example, in our case studies, up to 91% of the scenarios generated using such iterative approaches would need to be neglected. In this article, we show how, given a set of constraints on the input scenarios succinctly defined by multiple finite memory monitors, a data structure (scenario generator) can be synthesised, from which any-horizon scenarios satisfying the input constraints can be efficiently extracted by (possibly uniform) random sampling or (randomised) enumeration. Our approach enables seamless support to virtually all simulation-based approaches to CPS verification, ranging from simple random testing to statistical model checking and formal (i.e., exhaustive) verification, when a suitable bound on the horizon or an iterative horizon enlargement strategy is defined, as in the spirit of bounded model checking.
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ISSN 1939-3520 ISBN Medium
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Call Number MCLab @ davi @ ref9527998 Serial 191
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