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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.
Why is maintenance of a software important? The alteration of a software product, after delivery, to correct faults, to improve performance or other attributes, or to adapt th
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Explain fan out and fan in with example.
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This case study looks at the requirements for an information system to manage the organisation of an international academic conference. An academic conference consists of presenta
explaination
What kinds of bottlenecks can be expected in performance testing? Bottlenecks in performance testing can have below effects: - It can affect the performance and the scalabil
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