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  1. No Access

    Chapter and Conference Paper

    Optimal Route Synthesis in Space DTN Using Markov Decision Processes

    Delay-tolerant networks (DTN) are time evolving networks which do not provide continuous and instantaneous end-to-end communication [5, 9]. Instead, the topological configuration of DTN changes continuously: conn...

    Pedro R. D’Argenio in Theoretical Aspects of Computing – ICTAC 2023 (2023)

  2. Article

    Open Access

    Analysis of non-Markovian repairable fault trees through rare event simulation

    Dynamic fault trees (DFTs) are widely adopted in industry to assess the dependability of safety-critical equipment. Since many systems are too large to be studied numerically, DFTs dependability is often analy...

    Carlos E. Budde, Pedro R. D’Argenio in International Journal on Software Tools fo… (2022)

  3. Chapter and Conference Paper

    MaskD: A Tool for Measuring Masking Fault-Tolerance

    We present MaskD, an automated tool designed to measure the level of fault-tolerance provided by software components. The tool focuses on measuring masking fault-tolerance, that is, the kind of fault-tolerance th...

    Luciano Putruele, Ramiro Demasi in Tools and Algorithms for the Construction … (2022)

  4. Chapter and Conference Paper

    Playing Against Fair Adversaries in Stochastic Games with Total Rewards

    We investigate zero-sum turn-based two-player stochastic games in which the objective of one player is to maximize the amount of rewards obtained during a play, while the other aims at minimizing it. We focus ...

    Pablo F. Castro, Pedro R. D’Argenio, Ramiro Demasi in Computer Aided Verification (2022)

  5. No Access

    Chapter and Conference Paper

    Comparing Statistical and Analytical Routing Approaches for Delay-Tolerant Networks

    In delay-tolerant networks (DTNs) with uncertain contact plans, the communication episodes and their reliabilities are known a priori. To maximize the end-to-end delivery probability, a bounded network-wide nu...

    Pedro R. D’Argenio, Juan A. Fraire, Arnd Hartmanns in Quantitative Evaluation of Systems (2022)

  6. Article

    Open Access

    An efficient statistical model checker for nondeterminism and rare events

    Statistical model checking avoids the state space explosion problem in verification and naturally supports complex non-Markovian formalisms. Yet as a simulation-based approach, its runtime becomes excessive in...

    Carlos E. Budde, Pedro R. D’Argenio in International Journal on Software Tools fo… (2020)

  7. No Access

    Article

    On the probabilistic bisimulation spectrum with silent moves

    In this paper we look at one of the seminal works of Rob van Glabbeek from a probabilistic angle. We develop the bisimulation spectrum with silent moves for probabilistic models, namely Markov decision process...

    Christel Baier, Pedro R. D’Argenio, Holger Hermanns in Acta Informatica (2020)

  8. No Access

    Chapter and Conference Paper

    Sampling Distributed Schedulers for Resilient Space Communication

    We consider routing in delay-tolerant networks like satellite constellations with known but intermittent contacts, random message loss, and resource-constrained nodes. Using a Markov decision process model, we...

    Pedro R. D’Argenio, Juan A. Fraire, Arnd Hartmanns in NASA Formal Methods (2020)

  9. Chapter and Conference Paper

    Rare Event Simulation for Non-Markovian Repairable Fault Trees

    Dynamic fault trees (DFT) are widely adopted in industry to assess the dependability of safety-critical equipment. Since many systems are too large to be studied numerically, DFTs dependability is often analys...

    Carlos E. Budde, Marco Biagi, Raúl E. Monti in Tools and Algorithms for the Construction … (2020)

  10. Chapter and Conference Paper

    Measuring Masking Fault-Tolerance

    In this paper we introduce a notion of fault-tolerance distance between labeled transition systems. Intuitively, this notion of distance measures the degree of fault-tolerance exhibited by a candidate system. ...

    Pablo F. Castro, Pedro R. D’Argenio in Tools and Algorithms for the Construction … (2019)

  11. Chapter and Conference Paper

    A Hierarchy of Scheduler Classes for Stochastic Automata

    Stochastic automata are a formal compositional model for concurrent stochastic timed systems, with general distributions and nondeterministic choices. Measures of interest are defined over schedulers that resolve...

    Pedro R. D’Argenio, Marcus Gerhold in Foundations of Software Science and Comput… (2018)

  12. No Access

    Chapter and Conference Paper

    Input/Output Stochastic Automata with Urgency: Confluence and Weak Determinism

    In a previous work, we introduced an input/output variant of stochastic automata (IOSA) that, once the model is closed (i.e., all synchronizations are resolved), the resulting automaton is fully stochastic, th...

    Pedro R. D’Argenio, Raúl E. Monti in Theoretical Aspects of Computing – ICTAC 2018 (2018)

  13. Chapter and Conference Paper

    A Statistical Model Checker for Nondeterminism and Rare Events

    Statistical model checking avoids the state space explosion problem in verification and naturally supports complex non-Markovian formalisms. Yet as a simulation-based approach, its runtime becomes excessive in...

    Carlos E. Budde, Pedro R. D’Argenio in Tools and Algorithms for the Construction … (2018)

  14. No Access

    Chapter and Conference Paper

    Lightweight Statistical Model Checking in Nondeterministic Continuous Time

    Lightweight scheduler sampling brings statistical model checking to nondeterministic formalisms with undiscounted properties, in constant memory. Its direct application to continuous-time models is rendered in...

    Pedro R. D’Argenio, Arnd Hartmanns in Leveraging Applications of Formal Methods,… (2018)

  15. Chapter and Conference Paper

    Is Your Software on Dope?

    Usually, it is the software manufacturer who employs verification or testing to ensure that the software embedded in a device meets its main objectives. However, these days we are confronted with the situation...

    Pedro R. D’Argenio, Gilles Barthe, Sebastian Biewer in Programming Languages and Systems (2017)

  16. No Access

    Chapter

    The Road from Stochastic Automata to the Simulation of Rare Events

    We report in the advances on stochastic automata and its use on rare event simulation. We review and introduce an extension of IOSA, an input/output variant of stochastic automata that under mild constraints c...

    Pedro R. D’Argenio, Carlos E. Budde, Matias David Lee in ModelEd, TestEd, TrustEd (2017)

  17. No Access

    Chapter and Conference Paper

    Better Automated Importance Splitting for Transient Rare Events

    Statistical model checking uses simulation to overcome the state space explosion problem in formal verification. Yet its runtime explodes when faced with rare events, unless a rare event simulation method like...

    Carlos E. Budde, Pedro R. D’Argenio in Dependable Software Engineering. Theories,… (2017)

  18. No Access

    Chapter and Conference Paper

    Facets of Software Do**

    This paper provides an informal discussion of the formal aspects of software do**.

    Gilles Barthe, Pedro R. D’Argenio in Leveraging Applications of Formal Methods,… (2016)

  19. No Access

    Chapter and Conference Paper

    Input/Output Stochastic Automata

    Stochastic automata provide a way to symbolically model systems in which the occurrence time of events may respond to any continuous random variable. We introduce here an input/output variant of stochastic aut...

    Pedro R. D’Argenio, Matias David Lee in Formal Modeling and Analysis of Timed Syst… (2016)

  20. No Access

    Chapter and Conference Paper

    Statistical Approximation of Optimal Schedulers for Probabilistic Timed Automata

    The verification of probabilistic timed automata involves finding schedulers that optimise their nondeterministic choices with respect to the probability of a property. In practice, approaches based on model c...

    Pedro R. D’Argenio, Arnd Hartmanns, Axel Legay, Sean Sedwards in Integrated Formal Methods (2016)

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