By Cyrille Artho, Peter Csaba Ölveczky
This publication constitutes the refereed complaints of the 3rd overseas Workshop on Formal concepts for Safety-Critical platforms, FTSCS 2014, held in Luxembourg, in November 2014. The 14 revised complete papers provided including invited talks have been rigorously reviewed and chosen from forty submissions. The papers handle numerous subject matters with regards to the appliance of formal and semi-formal easy methods to increase the standard of safety-critical desktop systems.
Read or Download Formal Techniques for Safety-Critical Systems: Third International Workshop, FTSCS 2014, Luxembourg, November 6-7, 2014. Revised Selected Papers PDF
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Additional info for Formal Techniques for Safety-Critical Systems: Third International Workshop, FTSCS 2014, Luxembourg, November 6-7, 2014. Revised Selected Papers
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The result is a graph showing the cumulative distribution function over the time horizon specified in the performance requirement. In case the resulting IMC from the model does not yield a CTMC after bisimulation minimization, new analysis techniques using real-time stochastic games can be used [26]. These techniques are planned to be integrated into the toolset. , computing the probability of the top-level event in dynamic fault trees [6]. 4 Industrial Evaluation The COMPASS approach and toolset was intensively tested on serious industrial cases by Thales Alenia Space in Cannes (France).
The principal idea is that the nominal and error models are running concurrently. That is, the state space of the extended model consists of pairs of nominal modes and error states, and each transition in the extended model is due to a nominal mode transition, an error state transition, or a combination of both (in case of a reset operation). The aforementioned fault injection becomes enabled whenever the error model enters state s. , the data subcomponent d is assigned with the fault effect a. This error effect is maintained as long as the error model stays in state s, overriding possible assignments to d in the nominal model.
330 (2014) 21. : Recent thermal management techniques for microprocessors. ACM Comput. Surv. 44(3), 13:1–13:42 (2012) 22. : Time, clocks, and the ordering of events in a distributed system. Commun. ACM 21(7), 558–565 (1978) 23. : Distributed task migration for thermal hot spot reduction in many-core microprocessors. In: ASIC, pp. 1–4 (2013) 24. : Dynamic thermal management for multicore microprocessors considering transient thermal effects. In: Design Automation Conference, pp. A. Bukhari et al.