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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 are the various testing activities? i. Test planning ii. Test case design iii. Data collection iv. Test execution v. Effective evaluation
Behavioral Analysis Model The Behavioral analysis is an operational technique for all requirement analysis techniques. When a sensor event is recognized the software invokes
What is a boundary value analysis? A boundary value analysis is a testing procedure by which the elements at the edge of the domain are selected and tested. It is a test case d
Two partners in an upholstery business are interested in decreasing the number of complaints from customers who have had furniture reupholstered by their staff. For the past six mo
Explain the role and functions of a Systems Analyst in the overall project development.
The level at which the software uses scarce resources Efficiency level.
The operational methods and processes used to achieve quality requirements.
Phone Company (WLPC) is a provider of wireless phone service in the US with 100,000 customers serving mostly small markets. WLPC has just purchased additional airwaves in the US, C
What does Data abstraction contains? A Data abstraction is a named collection of data that describes a data object Eg: door Attributes: door type, Opening mechanism, Swing d
database mapping from class to database
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