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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.
Dynamic and static metrics Dynamic metrics are closely related to software quality attributes It is relatively easy to measure the response time of a system (performance
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A consistent measure of software size based on user needs.
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What are functional and non-functional requirements?
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