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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 is meant by software change? Software change is termed as the change in nature of software as the requirements of software changes.
What are Version management tools? Version and release identification Systems assign identifiers automatically when a new version is submitted to the system. St
What are the characteristics of SRS? i. Correct - The SRS should be made up to date when appropriate needs are identified. ii. Unambiguous - When the needs are correctly un
A manifestation of an error in software. A fault, if encountered, might cause a failure.
This is a explanation of whether or not certain processing conditions use many storage [memory] than estimated.
BTEC HND course
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