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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.
Bottom up design: This design leads to a style of design where we decide how to join these modules to give larger ones; to combine those to give even larger ones, and so on, till
Advantage of software package: Advantages accrue from this situation. Some of these are mentioned below: i) An efficient software package requires at least 4 to 5 man yea
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What are the conditions exists after performing validation testing? After performing the validation testing there exists two conditions. The function or performance characteris
Explain the difference between Latent and Masked Defect. Latent Defect is one which has been in the system for a long time; but is discovered now. I.e. A defect which has been
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Stochastic testing is the similar as "monkey testing", but stochastic testing is a lot more technical sounding name for the similar testing process.
Q. Differentiate between functional testing and structural testing. Ans: Functional testing signifies behavioural testing or Black box testing. In this techniques the teste
pexplain Explain basic Docomo model
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