Publications

  1. S. Martina, M. Paolieri, T. Papini and E. Vicario, Performance Evaluation of Fischer’s Protocol through Steady-State Analysis of Markov Regenerative Processes, Modelling, Analysis and Simulation of Computer and Telecommunication Systems, IEEE 24th International Symposium, MASCOTS'16, London, Sept. 2016.
  2. M. Paolieri, A. Horváth and E. Vicario, Probabilistic Model Checking of Regenerative Concurrent Systems, accepted for publication in IEEE Transactions on Software Engineering, Aug. 2015.
  3. L. Carnevali, C. Nugent, F. Patara and E. Vicario, A Continuous-Time Model-Based Approach to Activity Recognition for Ambient Assisted Living, Quantitative Evaluation of Systems: 12th International Conference, QEST'15, Madrid, Sept. 2015.
  4. L. Carnevali, F. Flammini, M. Paolieri and E. Vicario, Non-Markovian Performability Evaluation of ERTMS/ETCS Level 3, 12th European Performance Engineering Workshop, EPEW'15, Madrid, Sept. 2015.
  5. A. Avritzer, L. Carnevali, H. Ghasemieh, L. Happe, B. R. Haverkort, A. Koziolek, D. Menasche, A. Remke, S. Sedigh Sarvestani and E. Vicario, Survivability Evaluation of Gas, Water and Electricity Infrastructures, Electronic Notes in Theoretical Computer Science, Vol.310, pages 5-25, Elsevier, 2015.
  6. L. Carnevali, M. Paolieri, F. Tarani and E. Vicario, Quantitative evaluation of availability measures of gas distribution networks, 7th Int.Conf on Perfromance Evaluation Methodologies and Tools, ValueTools'13, ACM, Dec. 2013.
  7. L. Carnevali, L. Ridi and E. Vicario, A Quantitative Approach to Input Generation in Real-Time Testing of Stochastic Systems, IEEE Trans. Softw. Eng., vol. 39, no. 3, pp. 292-304, Mar. 2013.
  8. A. Horváth, M. Paolieri, L. Ridi and E. Vicario, Transient analysis of non-Markovian models using stochastic state classes, Perform. Eval., vol. 69, no. 7, pp. 315–335, Jul. 2012.
  9. A. Horváth, M. Paolieri, L. Ridi and E. Vicario, Probabilistic Model Checking of non-Markovian Models with Concurrent Generally Distributed Timers, in QEST’11, pp. 131–140, IEEE CS, 2011.
  10. L. Carnevali, L. Ridi and E. Vicario, A framework for simulation and symbolic state space analysis of non-Markovian models, in SAFECOMP’11, LNCS, vol. 6894, pp. 409–422, Springer, 2011.
  11. G. Bucci, L. Carnevali, L. Ridi and E. Vicario, Oris: a tool for modeling, verification and evaluation of real-time systems, Int. J. on Softw. Tools for Techn. Transfer, vol. 12, no. 5, pp. 391–403, Sep. 2010.
  12. E. Vicario, L. Sassoli and L. Carnevali, Using Stochastic State Classes in Quantitative Evaluation of Dense-Time Reactive Systems, IEEE Trans. Softw. Eng., vol. 35, no. 5, pp. 703–719, Sep. 2009.
  13. L. Carnevali, L. Grassi and E. Vicario, State-Density Functions over DBM Domains in the Analysis of Non-Markovian Models, IEEE Trans. Softw. Eng., vol. 35, no. 2, pp. 178–194, Mar. 2009.
  14. G. Bucci, R. Piovosi, L. Sassoli and E. Vicario, Introducing Probability within State Class Analysis of Dense Time Dependent Systems, in QEST’05, pp. 13-22, IEEE CS, 2005.
  15. E. Vicario, Static Analysis and Dynamic Steering of Time-Dependent Systems, IEEE Trans. Softw. Eng., vol. 27, no. 8, pp. 728–748, Aug. 2001.

For a summary of the method of stochastic state classes, check the slides of the talk "Evaluation of non-Markovian models through the method of stochastic state classes" by Prof. Enrico Vicario (Dagstuhl Seminar on Randomized Timed and Hybrid Models for Critical Infrastructures, 2014).