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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 are the assumptions of the execution-time component model? Compare the execution-time component for basic model and the logarithmic Poisson model. Ans. The execution-
Software project planning entails what activities? Software project planning entails the many activities: - Estimation: o Effort, , resource, cost and project duratio
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Q. Explain Information Flow index? Information Flow index Information flow metrics are practical to the components of a system design. For any component A We are able to defi
EXPLAIN ABOUT DEFECT AMPLIFICATION AND REMOVAL IN SOFTWARE ENGINEERING
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What is equivalence partitioning? Equivalence partitioning is a black box procedure that divides the input domain into classes of data. From this data test cases can be foun
ER Diagram for safe Home Systems
identification need
Q. Explain about Spiral Model? The Spiral model is one of the well-liked model used for large projects. This model was projected by Boehm in 1988 and it focuses on minimizing t
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