By Irene Eusgeld, Felix C. Freiling (auth.), Irene Eusgeld, Felix C. Freiling, Ralf Reussner (eds.)
With the turning out to be ubiquity of computing platforms, it truly is crucial that we will be able to depend on the companies they convey. Justifying reliance in computers calls for clinical thoughts to derive proof from given structures or are expecting such proof. This instructional publication provides an outline of the present state-of-the-art in measuring different elements of dependability of platforms: reliability, safety and performance.
The major impulse for this dependability metrics undertaking resulted from a examine seminar, held at Schloss Dagstuhl, Germany, in October/November 2005. The 25 chapters, in accordance with the result of the learn seminar, are equipped in 5 components on foundations, reliability metrics, safety metrics, functionality metrics, and overlapping metrics. the ultimate half exhibits that just a mixed attention of vital dependability attributes will result in the layout aim: the advance of platforms we will rather trust.
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Additional resources for Dependability Metrics: Advanced Lectures
The most interesting metamodelling-based approaches to nonfunctional conformance checking currently come from Model Driven Architecture research. Solberg et al.  present a good argument for the capturing and handling of QoS-requirements as an essential part of the MDA approach. Merilinna  defines a range of horizontal MDA transformations (transformations involving the same abstract modelling language) that systematically construct QoS-oriented system designs from basic specifications.
If a theory can be empirically shown to be false, then it is falsifiable. For example, our theory of the speed of light is falsifiable, as the experiment permits the possibility of a counter-instance that will show the theory to be false. We accept the theory as true, not because of a large number of positive outcomes of the experiment, but because the theory has yet to be falsified. In contrast, a range of undesirable theories are no longer scientific under this criterion. For example, the Marxist idea that capitalist societies inevitably lead to the rebellion of the working class can never be falsified – a counter-example of a particularly successful capitalist society does not entail the overall idea is false.
Al-Ali et al.  defines a language of QoS policies for grid services that are enforced by means of adaptation mechanisms. A different approach to QoS adaptation is considered in Sharma et al.  for the case of embedded systems. These systems do not involve forecasting of values as part of their adaptation strategies. The ARIMA methods need not only be applied to compute QoS queue characteristics. These strategies have the Consistent Metric Usage: From Design to Deployment 33 potential to be combined with such (non-queued) QoS-based runtime adaptation technologies.