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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 is SEI capability maturity model? Initial Essentially uncontrolled Repeatable Product management procedures explained and used Defined Proc
When to Re-Engineer? When the system alter are mostly confined to part of the system then re-engineer that part. When hardware or software support becomes obsolete.
Define about the erroneous data - Test data Abnormal/erroneous data - This is data outside the limits of validity/acceptability and must cause an error message to be g
Two partners in an upholstery business are interested in decreasing the number of complaints from customers who have had furniture reupholstered by their staff. For the past six mo
benefits and limitations mysql
What are the different architectures developed during BPE? Data architecture framework for the information requires of a business. Application architecture incorporates the
Define Test Harness? Ans) A software tool that allows the testing of software components that links test capabilities to perform particular tests, accept program inputs, replica
Waterfall Model It is the oldest, simplest and most widely used process model. In waterfall model, every phase of the life cycle is finished before start of a new phase. It's
identification need
Describe the various elements of data design? i. Data object - The data objects are identified and relationships among various data objects are represented using ERD or data di
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