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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 does Modularity concept mean? Software architecture embodies modularity; i.e. Software is named in to addressable components called modules, which are integrated finally.
TECHLIB Plus microcomputer based software package: This is yet another comprehensive package based on BASIS plus, one of the world's leading Document DBMS and Text Retrieval S
What is a process modelling and management tool?
What is architectural evolution? Architectural evolution is the method of changing a system from a centralized architecture to a distributed architecture as client server.
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Q Distinguish software faults and software failures? Ans: In case of a failure a software doesn't do what the users expect, a fault is a programming bug that may or mayn't act
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