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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 Data Flow Analysis? Ans) Having of the graphical analysis of collections of (sequential) data definitions and reference patterns to verify constraints that can be placed
What is software measure? A software measure is a mapping from a set of objects in the software engineering world information a set of mathematical construct like numbers or v
Q. Explain Common coupling with example? Common coupling: General coupling is when two modules share the same global data (example a global variable). Changing of the shared
Q. How Abstraction used in stepwise refinement? Abstraction:- Abstraction permits one to concentrate on a problem at some level of generalization without regard to irrelevant l
What specific languages can be used in SRS? What are the advantages of using these specific languages of SRS? Ans. Requirement specification necessitates the utilization of s
Why testing is vital with respect to software?
Structured Analysis Model Structured analysis is the most broadly used of requirements modeling techniques relies on flow modeling and data modeling to established t
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What is a vertical microinstruction? Ans) A vertical microinstruction is a microinstruction that states one of a sequence of operations required to carry out a machine language
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 accepted
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