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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 common activities in design process? i. System structuring - The system is subdivided into principle subsystems components and communications among these subsy
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java/python based application which lets you upload images of car logos and detects which logo it is by outputting the ID number of that image. Neural network is used to achieve th
How many types of traceability in software engineering? i. Source traceability - These are generally the links between requirement to stakeholders who suggests these requiremen
Re-Engineering cost factors:- 1) The amount of the software to be re-engineered. 2) The tool support available for re-engineering. 3) The extent of the data conversion
What is software measure? A software measure is a mapping from a set of objects in the software engineering world information a set of mathematical construct like numbers or ve
RE-ENGINEERING:- It is re-organizing and changing existing system to make them more maintainable. It includes:- Source code translation. Program structure development
Explain in detail the design concepts. Abstraction Functional abstraction Data abstraction Control abstraction Information hiding Every module in
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