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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.
structured analysis
What are 5 common problems in software development process? 1. Bad requirements - These requirements are unclear, too general, incomplete, or not testable. They cause problem
System software
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Write a C program that reads in three integers and then determines and print the largest and smallest integer among them.
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Iterative Enhancement Model This model was developed to remove disadvantages of waterfall model. In this model, phases of software development remain the same however the cons
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