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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.
Question: Part of the conceptual model of UML is made up of four "things": "Structural things", Behavioral things", "Grouping things" and "Annotational things". Explain, using
I am currently working on a project and am far from passing, I need help ASAP! The project task is to create a Decision support system for An Airline. It must predict and make de
what is design assignment
State the Advantages of Prototyping Advantages of prototyping outperform problems of prototyping. Hence overall, it's a beneficial approach to develop prototype. End user can'
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What is the difference among an implicit and an explicit conceptual model?
What is Criticality? The degree of impact that a necessity, module, error, fault, failure, or other item has on the operation of a system or development.
Formal testing, usually conducted by the developer for the consumer, to demonstrate that the software meet its described requirements.
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Q . Discuss the important issues that a SRS must address. Ans. SRS is the method of establishing the services the system should provide of the system in new it is difficult
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