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Author |
Kuijpers, Ed; Carotenuto, Luigi; Malapert, Jean-Cristophe; Markov-Vetter, Daniela; Melatti, Igor; Orlandini, Andrea; Pinchuk, Ranni |
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Title |
Collaboration on ISS Experiment Data and Knowledge Representation |
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Conference Article |
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Year |
2012 |
Publication |
Proc. of IAC 2012 |
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D.5.11 |
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yes |
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Call Number |
Sapienza @ melatti @ |
Serial |
107 |
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Author |
Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
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Title |
Synthesizing Control Software from Boolean Relations |
Type |
Journal Article |
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Year |
2012 |
Publication |
International Journal on Advances in Software |
Abbreviated Journal |
Intern. Journal on Advances in SW |
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Volume |
vol. 5, nr 3&4 |
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Pages |
212-223 |
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Keywords |
Control Software Synthesis; Embedded Systems; Model Checking |
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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 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. Moreover, a formal
proof of the proposed algorithm correctness is
also shown. Finally, we present experimental
results showing effectiveness of the proposed
algorithm. |
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IARIA |
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Editor |
Luigi Lavazza |
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ISSN |
1942-2628 |
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yes |
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Call Number |
Sapienza @ melatti @ |
Serial |
108 |
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Author |
Mari, Federico; Melatti, Igor; Tronci, Enrico; Finzi, Alberto |
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Title |
A multi-hop advertising discovery and delivering protocol for multi administrative domain MANET |
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Journal Article |
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Year |
2013 |
Publication |
Mobile Information Systems |
Abbreviated Journal |
Mobile Information Systems |
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Volume |
3 |
Issue |
9 |
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261-280 |
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IOS Press |
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1574-017x (Print) 1875-905X (Online) |
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no |
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Call Number |
Sapienza @ melatti @ |
Serial |
109 |
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Author |
Mancini, Toni; Mari, Federico; Massini, Annalisa; Melatti, Igor; Merli, Fabio; Tronci, Enrico |
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Title |
System Level Formal Verification via Model Checking Driven Simulation |
Type |
Conference Article |
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Year |
2013 |
Publication |
Proceedings of the 25th International Conference on Computer Aided Verification. July 13-19, 2013, Saint Petersburg, Russia |
Abbreviated Journal |
CAV 2013 |
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296-312 |
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Springer - Verlag |
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Lecture Notes in Computer Science |
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Series Volume |
8044 |
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0302-9743 |
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978-3-642-39798-1 |
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yes |
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Call Number |
Sapienza @ mari @ |
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113 |
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Author |
Mancini, Toni ; Mari, Federico ; Massini, Annalisa; Melatti, Igor; Tronci, Enrico |
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Title |
System Level Formal Verification via Distributed Multi-Core Hardware in the Loop Simulation |
Type |
Conference Article |
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Year |
2014 |
Publication |
Proc. of the 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing |
Abbreviated Journal |
Euromicro International Conference on Parallel, Distributed and Network-Based Processing |
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IEEE Computer Society |
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no |
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Call Number |
Sapienza @ melatti @ |
Serial |
118 |
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Author |
Verzino Giovanni ; Cavaliere, Federico; Mari, Federico; Melatti, Igor; Minei, Giovanni; Salvo, Ivano; Yushtein, Yuri; Tronci, Enrico |
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Title |
Model checking driven simulation of sat procedures |
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Conference Article |
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Year |
2012 |
Publication |
Proceedings of 12th International Conference on Space Operations (SpaceOps 2012) |
Abbreviated Journal |
International Conference on Space Operations |
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no |
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Call Number |
Sapienza @ melatti @ |
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117 |
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Author |
Mancini, T.; Melatti, I.; Tronci, E. |
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Title |
Any-horizon uniform random sampling and enumeration of constrained scenarios for simulation-based formal verification |
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Journal Article |
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Year |
2021 |
Publication |
IEEE Transactions on Software Engineering |
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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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1939-3520 |
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To appear |
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Call Number |
MCLab @ davi @ ref9527998 |
Serial |
191 |
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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. |
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Title |
SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation |
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Conference Article |
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Year |
2014 |
Publication |
Proceedings of the Work in Progress Session of SEAA/DSD 2014 |
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978-3-902457-40-0 |
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Sapienza @ mari @ |
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119 |
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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. |
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Title |
Patient-Specific Models from Inter-Patient Biological Models and Clinical Records |
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Conference Article |
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2014 |
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Formal Methods in Computer-Aided Design (FMCAD) |
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Sapienza @ mari @ |
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120 |
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Author |
Tronci, E.; Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Prodanovic, M.; Gruber, J. K.; Hayes, B.; Elmegaard, L. |
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Title |
Demand-Aware Price Policy Synthesis and Verification Services for Smart Grids |
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Conference Article |
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2014 |
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Proceedings of Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference On |
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Sapienza @ melatti @ |
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121 |
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