Abstract
An integral part of the performance modeling process is the specification of the performability measures of interest. The notations proposed for this purpose can be grouped into classes that differ from each other in their expressiveness and usability. Two representative notations are the continuous stochastic reward logic CSRL and the measure specification language MSL. The former is a stochastic temporal logic formulating quantitative properties about states and paths, while the latter is a component-oriented specification language relying on a first-order logic for defining reward-based measures. In this paper, we combine CSRL and MSL in order to take advantage of the expressiveness of the former and the usability of the latter. To this aim, we develop a unified notation in which the core logic of MSL is employed to set up the reward structures needed in CSRL, whereas the measure definition mechanism of MSL is exploited to formalize measure and property specification patterns in a component-oriented fashion.
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References
Aldini, A., Bernardo, M.: Mixing Logics and Rewards for the Component-Oriented Specification of Performance Measures. Theoretical Computer Sc. 382, 3–23 (2007)
Aldini, A., Bernardo, M., Corradini, F.: A Process Algebraic Approach to Software Architecture Design. Springer, Heidelberg (2010)
Baier, C., Cloth, L., Haverkort, B., Hermanns, H., Katoen, J.-P.: Performability Assessment by Model Checking of Markov Reward Models. Formal Methods in System Design 36, 1–36 (2010)
Baier, C., Haverkort, B.R., Hermanns, H., Katoen, J.-P.: On the Logical Characterisation of Performability Properties. In: Welzl, E., Montanari, U., Rolim, J.D.P. (eds.) ICALP 2000. LNCS, vol. 1853, pp. 780–792. Springer, Heidelberg (2000)
Baier, C., Haverkort, B., Hermanns, H., Katoen, J.-P.: Model-Checking Algorithms for Continuous-Time Markov Chains. IEEE Trans. on Software Eng. 29, 524–541 (2003)
Baier, C., Katoen, J.-P.: Principles of Model Checking. MIT Press, Cambridge (2008)
Bernardo, M., Hillston, J. (eds.): Formal Methods for Performance Evaluation. LNCS, vol. 4486. Springer, Heidelberg (2007)
Brinksma, E., Hermanns, H., Katoen, J.-P. (eds.): Lectures on Formal Methods and Performance Analysis. LNCS, vol. 2090. Springer, Heidelberg (2001)
Courtney, T., Daly, D., Derisavi, S., Gaonkar, S., Griffith, M., Lam, V., Sanders, W.: The Möbius Modeling Environment: Recent Developments. In: Proc. of the 1st Int. Conf. on Quantitative Evaluation of Systems (QEST 2004), pp. 328–329. IEEE-CS Press, Los Alamitos (2004)
Clark, G., Hillston, J.: Towards Automatic Derivation of Performance Measures from PEPA Models. In: Proc. of the 12th UK Performance Engineering Workshop (1996)
De Nicola, R., Katoen, J.-P., Latella, D., Loreti, M., Massink, M.: Model Checking Mobile Stochastic Logic. Theoretical Computer Science 382, 42–70 (2007)
De Nicola, R., Vaandrager, F.: Action Versus State Based Logics for Transition Systems. In: Guessarian, I. (ed.) LITP 1990. LNCS, vol. 469, pp. 407–419. Springer, Heidelberg (1990)
Grunske, L.: Specification Patterns for Probabilistic Quality Properties. In: Proc. of the 30th Int. Conf. on Software Engineering (ICSE 2008), pp. 31–40. ACM Press, New York (2008)
Hermanns, H., Katoen, J.-P., Meyer-Kayser, J., Siegle, M.: Towards model checking stochastic process algebra. In: Grieskamp, W., Santen, T., Stoddart, B. (eds.) IFM 2000. LNCS, vol. 1945, p. 420. Springer, Heidelberg (2000)
Hermanns, H., Katoen, J.-P., Meyer-Kayser, J., Siegle, M.: Model Checking Stochastic Process Algebra, Technical Rep. IMMD7-2/00, University of Erlangen-Nürnberg (2000)
Howard, R.A.: Dynamic Probabilistic Systems. John Wiley & Sons, Chichester (1971)
Katoen, J.-P., Khattri, M., Zapreev, I.S.: A Markov Reward Model Checker. In: Proc. of the 2nd Int. Conf. on Quantitative Evaluation of Systems (QEST 2005), pp. 243–244. IEEE-CS Press, Los Alamitos (2005)
Kwiatkowska, M., Norman, G., Parker, D.: Stochastic Model Checking. In: Bernardo, M., Hillston, J. (eds.) SFM 2007. LNCS, vol. 4486, pp. 220–270. Springer, Heidelberg (2007)
Obal, W., Sanders, W.: State-Space Support for Path-Based Reward Variables. Performance Evaluation 35, 233–251 (1999)
Suto, T., Bradley, J.T., Knottenbelt, W.J.: Performance Trees: Expressiveness and Quantitative Semantics. In: Proc. of the 4th Int. Conf. on the Quantitative Evaluation of Systems (QEST 2007), pp. 41–50. IEEE-CS Press, Los Alamitos (2007)
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Aldini, A., Bernardo, M., Sproston, J. (2011). Performability Measure Specification: Combining CSRL and MSL. In: Salaün, G., Schätz, B. (eds) Formal Methods for Industrial Critical Systems. FMICS 2011. Lecture Notes in Computer Science, vol 6959. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24431-5_13
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DOI: https://doi.org/10.1007/978-3-642-24431-5_13
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