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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.
Explain in detail about Structural Modeling. Structural model having a detail refinement of ERD, data flow model and control flow model. Creating an ERD. Example: Saf
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Illustrate the use of the concept Encapsulation.
EXPLAIN COMPONENTS OF DATABASE MANAGEMENT
explaination
Advantage of software package: Advantages accrue from this situation. Some of these are mentioned below: i) An efficient software package requires at least 4 to 5 man yea
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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