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Q. Explain Predictive validity?
Predictive validity: It is the potential of the model to predict future failure behaviour from present and past failure behaviour. This capability is important only when failure behaviour is changing. There are two universal ways of viewing predictive validity based on the two equivalent approaches to characterizing failure random process namely
1. The number of failure approach as well as
2. The failure time approach.
We can visually ensure the predictive validity by plotting the relative error against the normalised test time.
A document reporting on any event that happens during testing that needs further investigation.
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When you write to a file, you do what?
Documentation explaining plans for, or results of, the testing of a system or component, Types contain test case specification, test incident report, test log, test procedure, test
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Iterative Enhancement Model Iterative Enhancement Model: This model has the similar phases as the waterfall model, but with fewer restrictions. Normally the phases happen in th
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Define the factors of prime concern for system modeling Following four factors are of prime concern for system modeling: 1. System modeling is undertaken with some simplifyi
What are the characteristics of software measurement? Measured property Object of measurement Source of measure Purpose measurement Context of measurement.
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