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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.
algorithm
State about the Software Requirements Specification This document is produced as output of requirement analysis. Requirement analysis involves obtaining a clear and thorough
Q. Illustrate the concept of Hybrid design? Hybrid design: Pure top-down or else pure bottom up approaches are often not practical so hybrid approach which combines the above
Q. Draw the flow chart of Risk Management-Activity and explain various Software risks. Ans RISK is a problem that could cause a few loss or threatens the success of the proje
What does Level0 DFD means? Level0 DFD is called as 'fundamental system model' or 'context model'. In the context model the total software system is represented by a single bub
Explain different recording modes. There are two type of recording modes: context sensitive and analog. - Context Sensitive - identifies GUI objects and records operations
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Define effector process? The effector process is termed as a process that verifies itself. The effector process exists in specific criteria.
Q. Explain about Function count? Function count:- It measures the functionality from the user point of view that is on the basis of what the user requests and receives in ret
Explain model-based expert systems and frame-based expert systems
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