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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.
Determine the Level 4 of key process areas Level 4 KPAs: 1) Quantitative Process Management (QP): It states quantitative standards for software process. 2)
Draw E-R diagram for the following situation An account is a relationship between customer and bank. A customer has a name. A bank has a branch. A customer may have numerous ac
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what is the purpose of equivalence partitioning?
normal vector
We discussed the importance of framing a problem in order to understand the problem better and be able to develop a solution more quickly and easily. In this homework, you are ask
What do you do if you have provided functionality which wasn't listed in requirements? - If functionality isn't necessary to purpose of the application, it must be removed.
How can recovery scenario manager be used to handle exceptions in QTP? QTP provides a wizard through Recovery Scenario Manger which can recover unexpected errors and events wh
Q.Illustrate Intermediate COCOMO model ? The intermediate COCOMO model approximation the software development effort by using 15 cost drivers' variables besides the size variab
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