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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.
The aim of regression testing is to test that the fixes have not formed any other problems elsewhere. The aim is to ensure the software has remained intact. A baseline set of data
The act of attempting to verify the cause of the symptoms of malfunctions noticed by testing or by frenzied user complaints.
Software measurement Software measurement is anxious with deriving a numeric value for an attribute of a software product or process. This permits for objective comparisons
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Applicability: It is another significant characteristic of a model. The model should be judged by its degree of applicability across software products that change in size, structu
Write short notes on empirical estimation models. Estimation model for computer software uses empirically derived formulas to expect effort as a function of line of codes (LOC)
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Question 1: (a) Describe the Formal Software Process Model. (b) What are the main strengths of the Formal Software Process Model ? (c) Why is the Software Process Mode
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