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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.
Explain in detail about Structural Modeling. Structural model having a detail refinement of ERD, data flow model and control flow model. Creating an ERD. Example: Saf
Q What is the advantage of utilizing prototype software development model instead of waterfall model? As well explain the effect of defining a prototype on the overall cost of the
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what is software process model and waterfall model?
The University needs to develop an online student registration system for new CAO entrants. This system will allow new students to enroll in their university course. Each student i
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Peripheral devices are irrelevant to the computer
What do you understand by "Software Quality"? Quality software means, it's: - Free of bugs - Is easily maintainable - Within the budget - Meets requirements - De
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