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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.
State Lehman's First law A program that is used in real world environment of necessity must change or become progressively less useful in that environment.
Explain Length of code This is a measure of the size of a program. Usually, the larger the size of the code of a component, the more difficult and error-prone that component is
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