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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. Illustrate Functions that dynamic testing tools supports? Functions that dynamic testing tools supports: 1: input setting it is selecting of the test data that the test
Explain in detail about data modeling Data modeling creates use of the ERD. Having of 3 interrelated information. The data object. Relationships. Attributes
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List four reasons why it is difficult to improve software process. It is difficult to improve software process due to following reasons: 1. Lack of knowledge 2. Not eno
Determine the aspects of prototyping model. Figure below portrays prototyping model. Prototype model has the below aspects: (i) It helps in determining user requirements
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A function module can be called from a transaction screen outside an ABAP/4 program. Yes, a function module called from transaction screen.
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Construct an E-R Diagram for the application described on the next page. Include any additional assumptions you made about the application requirements. The assumptions may not dir
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