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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.
Mention some of the drawbacks of RAD model. Not suitable for largescale projects. Commitment of developers & customers are required. Not appropriate when technical ris
Test methodology is up to the end client, and can be used, reused, and moulded to your end client's requirements. Rob Davis believes that using the right test methodology is signif
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Q. Explain the development phases of the detailed COCOMO model. Ans A software development is performed in four successive phases which are as follows 1 : plan/requirement
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Illustrate the example of Data dictionary of payroll Data dictionary of payroll may include below fields: PAYROLL = [Payroll Details] = @ employee name + employee + id
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How can a company improve quality of business information?
Q. Applicability with reference to software reliability models? Applicability : It is another important characteristic of a model. The model must be judged by its degree of a
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