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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.
Describe in short about software testing ?
What is Test log? A chronological record of all relevant details about the implementation of a test.
name some software in which incremental process are used or possible to use it?
User and System documentation with examples. User documentation having descriptions of the functions of a system without reference to how these functions are executed. Examples
Justify the term "Software is engineered" Software is engineered not manufactured. Although some similarities exit among software development and hardware manufacture, the two
Discuss in details the design steps in transaction mapping. Re-Check the fundamental model. Re-check and refine the DFD for the software. Determine the DFD has either
Write down short notes on empirical estimation models ?
Testing that takes into account the internal mechanism [structure] of a system or component. Types contain branch testing, path testing, statement testing. Testing to insure eve
explain
micro program control
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