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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.
Mutation testing is type of software testing where our goal is to make mutant software fail, and therefore demonstrate the adequacy of our test case.
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what are the advantages of open source software?
Explain Error guessing? Ans) Test data selection method. The selection criterion is to pick values that seem likely to reason errors.
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5. Write a c++ program to find the sum of 0.123 ??103 and 0.456 ??102 and write the result in three significant digits.
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