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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.
Q. What is Detailed COCOMO model ? The detailed COCOMO model is able to estimate the staffing cost and duration of each of the subsystem, development phases and modules. It per
A strategy for software testing integrates software test case design methods into a well - planned series of steps that result in the successful construction of software. Common
Why testing is vital with respect to software?
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Q. Regard as a program that reads a set of Data for 'n' no. of triangles. The program reads three integer values like representing the sides of triangles. The program prints for ea
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Question: Consider the University modular degree scheme where students choose a selection of modules from a large menu. Here we have the basic types [PERSON, MODULE], the set o
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