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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.
Testing is a process of implementing a program with the intent of finding an error. Various level of testing are : Unit Testing Integrating testing Valida
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Q. Why Waterfall model is advantageous than Adhoc Methods? Why Waterfall model is advantageous than Adhoc Methods AC16 Software Engineering Ad-hoc Process Models -Process
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Q. Explain Test data generators - testing tools? Test data generators: this is a hard one and at lease for the present is one for which no general solution exists. One of the
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