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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.
What are the characteristics of software measurement? Measured property Object of measurement Source of measure Purpose measurement Context of measurement.
1) The relationship between characters or groups of characters independent of their meanings or the manner of their interpretation and use; 2) The formation of expressions in a
compare and contrast the advantages of verticle and horizontal structural partitioning?
explain the effect of reverse engineering of software development #
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What is Dynamic and static metrics? Dynamic metrics are closely related to software quality attributes It is relatively easy to measure the response time of a system (per
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