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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 cardinality in data modelling? Cardinality in data modeling, cardinality verifies how the number of occurrences of one object is related to the number of occurrences of
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Q. Compute the McCobes cyclomatic complexity? (i) compute the McCobe's cyclomatic complexity (ii) Find out independent path Ans (i) Cyclomate complexity V (
benefits and limitations mysql
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(a) Draw an Entity-Relationship model for the relational schema given in the Appendix. Show all the entities, relationships, relationship names, and attributes and also underline
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