Comparing and validating measurements of dependability attributes
The type of validity which gauges the performance of measuring instrument, i. For the time being, those very specific measurements are not available a priori. Validity focuses on accuracy, i.
The QoS model proposed in this paper is very similar to our model, hence, the author does not specify how these values are actually assessed and monitored. Conversely, reliability concentrates on precision, which measures the extent to which scale produces consistent outcomes. In contrast to our approach, we do not try optimize the performance, we try to measure the different attributes, without dealing with the wrapping time itself. Equivalence can be gauged when two researchers compare the observations of the same events. Easy Definition of Validity In statistics, the term validity implies utility.
The criterion should be relevant, unbiased, reliable, etc. The idea is to deserialze only these parts which have not been processed in the past.
This value, which is also referred to as response time, can be split up into different components where it is essential to bootstrap as much of them as possible. One can easily assess the reliability of the measuring instrument, however, to assess validity is difficult. To the best of our knowledge, most of the existing work leaves open the way how QoS parameters are bootstrapped or evaluated. When the research instrument conforms to reliability, then one can be sure that the temporary and situational factors are not interfering.
Categorization We categorize our model into several groups with each group containing related QoS attributes. The other ones are out of scope of this paper. These include availability, latency, response time, authentication, authorization, cost, etc. Conclusion To sum up, validity and reliability are two vital test of sound measurement.
Reliability of the instrument can be evaluated by identifying the proportion of systematic variation in the instrument. On the other hand, reliability refers to the degree of reproducibility of the results, if repeated measurements are done. Therefore, QoS-driven development finally becomes possible. Degree of stability can be checked by making a comparison of the results of repeated measurement. In the next section we will break down the QoS attributes in different categories and describe how they are evaluated in a real-world scenario.
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