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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.
What is Big-bang waterfall model? Big bang Model of S/w development is based on the big bang theory. A huge quantity of people, money and time are put together, lot of energy
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List the important properties of a modular system. Desirable properties are:- Every module is a well defined subsystem useful to others Every module has a well defined single
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Distinguish between verification and validation. Verification is the set of activities that ensure that software properly implements a specific function. Validation is a differ
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