We present a novel approach for analysing the propagation of data errors in software. The concept of error permeability is introduced as a basic nieasure upon which we dejine a set of related measures. These measures guide us in the process of analysing the vulnerability of software to find the modules that are most likely exposed to propagating errors. Based on the analysis perj4ormed with error permeability and its related measures, we describe how to select suitable locations for error detection niechanisms (EDM's) and error recovery mechanisms (ERM's). A method for experimental estimation of error permeability, based on fault injection, is described and the software of a real embedded control system analysed to show the type of results obtainable by the unalysis framework. The results show that the developed framework is very useful for analysing error propagation and software vulnerability, and for deciding where to place EDM's and ERM's.
Abstract. The paper analyses and compares infrasonic and seismic data from snow avalanches monitored at the Vallée de la Sionne test site in Switzerland from 2009 to 2010. Using a combination of seismic and infrasound sensors, it is possible not only to detect a snow avalanche but also to distinguish between the different flow regimes and to analyse duration, average speed (for sections of the avalanche path) and avalanche size. Different sensitiveness of the seismic and infrasound sensors to the avalanche regimes is shown. Furthermore, the high amplitudes observed in the infrasound signal for one avalanche were modelled assuming that the suspension layer of the avalanche acts as a moving turbulent sound source. Our results show reproducibility for similar avalanches on the same avalanche path.
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