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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.
Determine the primary activities of spiral model Below are the primary activities in this model: • Finalising Objective: Objectives are set for the particular phase of the
Q. Why is SRS also known as the blackbox specification of system ? Ans: SRS document is a contract among the development team and the customer once the SRS document is approv
Q. What is Function points? Function points : Function point calculates the functionality from the user opinion that is on the basis of what the user request and receives in r
A software tool that accepts as input source code, specifications, test criteria, or data structure definitions; uses these inputs to make test input data; and, sometimes, verifies
What is the advantages of Iterative model This model is useful when less manpower is available for software development and release deadlines are tight. It's best suited for in
what resources are used when a thread is created ?
What is quality? Quality, simplistically, means that a product should meet its requirement. This is problematical for software systems. There is a tension among custom
Explain Iterative Enhancement model Iterative Enhancement model: This model incorporates alters in the software based on the analysis of the existing system. Also the complet
What is meant by System Requirements Set out the system constraints and services in well explained. Serves as a contract among the system buyer & the system developer.
What is Equivalence Partitioning? Equivalence Partitioning (EP) is the process of methodically decreasing the huge set of possible test cases into a much smaller but still equ
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