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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.
Difference between Pilot and Beta Testing. Pilot testing includes having a group of end users try the system prior to its full deployment in order to give feedback on its perfo
normalization Explain its forms in brief
Testing a new or an changed data processing system with the similar source data that is used in another system. The other system is taken as the standard of comparison.
Demonstrate the Sequence of prototyping Sequence of prototyping is demonstrated in following Figure.
Q. Applicability with reference to software reliability models? Applicability : It is another important characteristic of a model. The model must be judged by its degree of a
Explain Big-Bang Strategy? Ans) Big-Bang approach is very easy in its philosophy where basically all the modules or builds are constructed and tested independently of each other
What is a data object? Data object is a collection of attributes that act as an aspect, characteristic, quality, or descriptor of the object.
how to threat into opportunities and weaknesses into strength
Define maintenance. Maintenance is explained as the process in which changes are executed by either modifying the existing system's architecture or by adding latest components
What is Benchmark? Ans) A Benchmark is a standard to calculate against.
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