2013
DOI: 10.1007/978-3-642-40229-6_8
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A Mechanized Semantic Framework for Real-Time Systems

Abstract: Concurrent systems consist of many components which may execute in parallel and are complex to design, to analyze, to verify, and to implement. The complexity increases if the systems have real-time constraints, which are very useful in avionic, spatial and other kind of embedded applications. In this paper we present a logical framework for defining and validating real-time formalisms as well as reasoning methods over them. For this purpose, we have implemented in the Coq proof assistant well known semantic d… Show more

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Cited by 9 publications
(6 citation statements)
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References 17 publications
(31 reference statements)
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“…This proof follows the same structure that the one found in the work of Abid et al [17]. Actually, our group has also conducted experiments on the use of interactive theorem prover to prove this kind of properties [18].…”
Section: B Soundness Of Observermentioning
confidence: 66%
“…This proof follows the same structure that the one found in the work of Abid et al [17]. Actually, our group has also conducted experiments on the use of interactive theorem prover to prove this kind of properties [18].…”
Section: B Soundness Of Observermentioning
confidence: 66%
“…We plan to experiment the behavioural aspect by considering the merging of Statecharts Specifications [30]. In the long run, we plan to integrate the work of Garnacho et al [17] that provide an embedding in Coq of timed transition systems in order to model the behavioral aspect of languages.…”
Section: Discussionmentioning
confidence: 99%
“…This work has the basic decidability result using regions and claims to make some attempt to extend the formalization towards DBMs. Another line of work [10,11] aims at modeling the class of pautomata [12] in Coq and proving properties of concrete p-automata within Coq. A similar approach was pursued with the help of Isabelle/HOL in the CClair project [13].…”
Section: Related Workmentioning
confidence: 99%