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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.
Q. Explain about token count - software metrics? Token count :- A program is considered to be series of tokens and if we count the number of tokens, some interesting results m
Q. Explain about non-functional requirement for a software ? Ans) Nonfunctional requirements are the basic characteristics of the system which will not be expressed as function
The process of testing an integrated hardware and software system to determine that the system meets its described requirements. Such testing might be conducted in both the develop
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what is the advantage of Iterative Enhancement Model in developing a system?
A manual testing [error detection] method where program [source code] logic [structure] is traced manually [mentally] by a group with a small set of test cases, whereas the state o
Explain Evolutionary prototyping Objective: The principal objective of this model is to deliver the working system to the end-user. Example-AI systems. Advant
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