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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.
How do you differentiate the roles of Quality Assurance Manager and Project Manager? Quality Assurance Manager (QA Manager) produces the process to be followed at every phase
What is Quality assurance and standards? Standards are the key to efficient quality management. They may be international, national, and organizational or project standards.
Testing conducted to evaluate whether systems or components pass data and control correctly to one another. Contrast with testing, unit; testing, system. Normal 0
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what are the characteristics of artificial intelligence
"State how you would type arguments h, o, w, n, o, w to the macro cat, define(cat, $1$2$3$4$5$6$7$8$9) so that the printed result was how now Describe exactly what happens when
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What is meant by software change? Once software is ready to use, new requirement appear and existing requirements change as the business running that software changes parts of
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