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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.
Importance of function point: This is independent of the languages tools, or methodology used for execution. They can be estimated from requirement specification or desig
Q. Illustrate Partitioning in stepwise refinement? Problems are frequently too large and complex to be understood as a whole. Therefore we tend to partition such problems into
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