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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.
Various attributes of cost drivers used in COCOMO model are: 1. Physical attributes: These are concerned with needed characteristics of the software product being developed.
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Q. Explain about Data coupling? The dependency among module A and B is said to be data coupled if their dependency is based on the fact they communicate by merely passing of da
Case Study: LHM is a London based privately owned hospital which provides healthcare to its patients. The hospital uses in-house software to manage and service its patients whi
Q. Explain different type of testing tools? (a) Test Case Generators: These tools produce test cases from SRS program or test design languages. They utilize certain rules cal
What is the use of knowledge of risk acceptance to engineers? The past experience and historical data give better information about safety of products designing there are stil
Define process maturity in short?
Illustrate parameterization in QTP. - Parameterization - Passing values from external source into script. - The number of values passed can be single or multiple. - It he
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Data validity is the reasonableness and correctness of data.
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