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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 data modeling Data modeling creates use of the ERD. Having of 3 interrelated information. The data object. Relationships. Attributes
What is software prototyping ?
An activity in which a system or component is implemented under specified conditions, the results are observed and an evaluation is made of some problem of the system or component.
Advantages of Re-Engineering:- 1) Reduced risk - there is a huge risk in new software development. There might be development problems, staffing problems and specification pro
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QUESTION Draw a class diagram which represents the information handled by the Online Bakery-equipments Ordering System. Your class should briefly and simply reflect the relatio
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