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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.
Q. What is reverse engineering? Ans. It is a method of analysing software with a view to understanding its design and specification. - In source code, reverse engineering
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How do i create the automobile management system project?
Ask question #Minimumreal time example 100 words accepted#
Case Study: LHM is a London based privately owned hospital which provides healthcare to its patients. The hospital uses in-house software to manage and service its patients whi
Documentation verifying inputs, predicted results, and a set of implementation conditions for a test item. A test case is a document that explains an input, action, or event and
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