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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.
fact finding examples
Checks the interfaces among program elements for consistency and adherence to predefined axioms or rules.
A group process that takes large quantity of language data, like as a list developed by brainstorming, and separates it into categories.
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what is driven development?give example what benifit of driven development
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