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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 ripple effect? The ripple effect is a term used to describe a situation where, like the ever expanding ripples across water when an object is dropped into it, an
System software
Q. What is the use of a data flow diagram? Explain the important concepts of data flow diagram. Ans. A data flow diagram is utilized to show the functional view of an applica
What are the Related data items Related data items captures details of related attributes. Range of values store total possible values of that data. Data structure definition c
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What are the tools are mainly used for information gathering 1. Record review: A review of recorded documents of organisation is performed.Manuals procedures, forms and book
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