| Records |
| Author |
Cesta, Amedeo; Fratini, Simone; Orlandini, Andrea; Finzi, Alberto; Tronci, Enrico |
| Title |
Flexible Plan Verification: Feasibility Results |
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Journal Article |
| Year |
2011 |
Publication |
Fundamenta Informaticae |
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| Volume |
107 |
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2 |
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111-137 |
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yes |
| Call Number |
Sapienza @ mari @ fi11 |
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15 |
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| Author |
Mancini, T.; Tronci, E.; Scialanca, A.; Lanciotti, F.; Finzi, A.; Guarneri, R.; Di Pompeo, S. |
| Title |
Optimal Fault-Tolerant Placement of Relay Nodes in a Mission Critical Wireless Network |
Type |
Conference Article |
| Year |
2018 |
Publication |
25th RCRA International Workshop on “Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion” (RCRA 2018) |
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no |
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MCLab @ davi @ |
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174 |
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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. |
| 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) |
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no |
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MCLab @ davi @ |
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175 |
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| Author |
Verzino Giovanni ; Cavaliere, Federico; Mari, Federico; Melatti, Igor; Minei, Giovanni; Salvo, Ivano; Yushtein, Yuri; Tronci, Enrico |
| Title |
Model checking driven simulation of sat procedures |
Type |
Conference Article |
| 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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Sapienza @ melatti @ |
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117 |
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| Author |
Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
| Title |
On Model Based Synthesis of Embedded Control Software |
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Conference Article |
| Year |
2012 |
Publication |
Proceedings of the 12th International Conference on Embedded Software, EMSOFT 2012, part of the Eighth Embedded Systems Week, ESWeek 2012, Tampere, Finland, October 7-12, 2012 |
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227-236 |
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ACM |
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Ahmed Jerraya and Luca P. Carloni and Florence Maraninchi and John Regehr |
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978-1-4503-1425-1 |
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Techreport version can be found at arxiv.org |
Approved |
yes |
| Call Number |
Sapienza @ mari @ emsoft12 |
Serial |
97 |
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| Author |
Mancini, T.; Massini, A.; Tronci, E. |
| Title |
Parallelization of Cycle-Based Logic Simulation |
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Journal Article |
| Year |
2017 |
Publication |
Parallel Processing Letters |
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27 |
Issue |
02 |
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no |
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MCLab @ davi @ |
Serial |
166 |
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| Author |
Piperno, Adolfo; Tronci, Enrico |
| Title |
Regular Systems of Equations in λ-calculus |
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Journal Article |
| Year |
1990 |
Publication |
Int. J. Found. Comput. Sci. |
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| Volume |
1 |
Issue |
3 |
Pages |
325-340 |
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| Abstract |
Many problems arising in equational theories like Lambda-calculus and Combinatory Logic can be expressed by combinatory equations or systems of equations. However, the solvability problem for an arbitrarily given class of systems is in general undecidable. In this paper we shall focus our attention on a decidable class of systems, which will be called regular systems, and we shall analyse some classical problems and well-known properties of Lambda-calculus that can be described and solved by means of regular systems. The significance of such class will be emphasized showing that for slight extensions of it the solvability problem turns out to be undecidable. |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ ijfcs90 |
Serial |
60 |
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| Author |
Piperno, Adolfo; Tronci, Enrico |
| Title |
Regular Systems of Equations in λ-calculus |
Type |
Conference Article |
| Year |
1989 |
Publication |
Ictcs |
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| Abstract |
Many problems arising in equational theories like Lambda-calculus and Combinatory Logic can be expressed by combinatory equations or systems of equations. However, the solvability problem for an arbitrarily given class of systems is in general undecidable. In this paper we shall focus our attention on a decidable class of systems, which will be called regular systems, and we shall analyse some classical problems and well-known properties of Lambda-calculus that can be described and solved by means of regular systems. The significance of such class will be emphasized showing that for slight extensions of it the solvability problem turns out to be undecidable. |
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Mantova - Italy |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ ictcs89 |
Serial |
61 |
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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 |
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| Volume |
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Issue |
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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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| Notes |
To appear |
Approved |
no |
| Call Number |
MCLab @ davi @ ref9527998 |
Serial |
191 |
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| Author |
Melatti, I.; Mari, F.; Mancini, T.; Prodanovic, M.; Tronci, E. |
| 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 |
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1-1 |
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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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To appear |
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no |
| Call Number |
MCLab @ davi @ ref9513535 |
Serial |
190 |
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