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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.
Why SRS document is also called as boack-box specification of a system
Define KPAs level associated with maturity model KPAs are defined by SEI and associated with different maturity levels. These are described below: Level 1 KPAs : There is
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EXPLAIN THE WORKING OF CRT?
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Explain virtual memory? Ans) Virtual memory tells to virtual storage. In virtual storage, portions of a user's program and data are placed in auxiliary storage, and the operatin
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