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Therefore, dependability assessment is vital in their design.
Our dependability assessment process leverages inference techniques provided by Semantic Web technologies in order to detect network-device provisioning errors.
In the context of cloud computing, we have more application examples of Petri nets nets for dependability assessment, than for performance modeling.
This feature combined with excellent reliability and validity poses CMG as a promising method that has the potential to be used in various areas, such as software dependability requirement elicitation, software dependability assessment and dependability risk control.
It interfaces the XML output file of M öbius, a multi-paradigm multi-solution framework for the performance and dependability assessment of systems, to investigate the details of what happened in a simulation of a model.
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Dependability requires assessment both at the software and at the hardware levels.
As explained earlier, generalizability theory provides a method to determine the dependability of an assessment approach by isolating the main and interaction effects that can lead to sources of measurement error.
Central activities are the recognition of events challenging dependability together with the assessment of their probabilities and impacts.
Therefore, it requires an assessment of dependability; this might be expressed, for example, as probability of failure upon demand, rate of occurrence of failures, probability of mission failure, and so on.
An additional assessment of study dependability or confirmability through audit would have improved the trustworthiness of these data.
Generally, G theory had been used to estimate reliability of performance-based assessment, but in some studies it was also applied to estimate reliability and dependability of paper-based multiple-choice test items (e.g., Brown 1999; Zhang 2006).
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