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7915 On the Logical Characterisation of Performability Properties
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Baier, C. and Haverkort, B.R.H.M. and Hermanns, H. and Katoen, J.P. (2000) On the Logical Characterisation of Performability Properties. In: International Conference on Automata, Languages and Programming (ICALP), 10-14 July 2000, Geneva, Switserland. pp. 780-792. Lecture Notes in Computer Science 1853. Springer. ISBN 9783540677154

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Official URL: http://www.springerlink.com/content/tcvv76rnlj3f6766/

Abstract

Markov-reward models, as extensions of continuous-time Markov chains, have received increased attention for the specification and evaluation of performance and dependability properties of systems. Until now, however, the specification of reward-based performance and dependability measures has been done manually and informally. In this paper, we change this undesirable situation by the introduction of a continuous-time, reward-based stochastic logic. We argue that this logic is adequate for expressing performability measures of a large variety. We isolate two important sub-logics, the logic CSL [#!ASS+96!#,#!BKH99!#], and the novel logic CRL that allows one to express reward-based properties. These logics turn out to be complementary, which is formally established in our main duality theorem. This result implies that reward-based properties expressed in CRL for a particular Markov reward model can be interpreted as CSL properties over a derived continuo us-time Markov chain, so that model checking procedures for CSL [#!BKH99!#,#!BHHK00!#] can be employed.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-DACS: Design and Analysis of Communication Systems, EWI-FMT: Formal Methods and Tools
Research Program:CTIT-UBRICKS: Building Blocks for Ubiquitous Computing and Communication
Research Project:HaaST: Verification of Hard and Softly Timed Systems
Additional Information:Imported from research group DACS (ID number 477)
ID Code:7915
Status:Published
Deposited On:17 August 2007
Refereed:Yes
International:Yes
More Information:statistics

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