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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.
Hardware and Software Requirements: The present versions of CDS/ISIS require the following minimum hardware and software: i) MS-DOS Version: an IBM PC or Compatible micro
a) Define Annual Change Traffic (ACT) and Annual Maintenance Effort (AME) of Boehm model. b) For a software system of 90 KLOC, 5KLOC of code was added. The initial development
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data dictionary diagram for library management system
Define Data Flow Diagram. A Data flow diagram is a graphical representation that depicts information flow & the transforms that are applied as data move from input to output.
What are the various types of coupling? i. Data coupling - The data coupling is possible by parameter passing or data interaction. ii. Control coupling - The modules share r
Decision-making is the activity of deciding appropriate action in given situations. Having useful information helps to reduce the uncertainty in decision-making. Information is
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need of platform assignment system
Determine the System Integration the life cycle process. It is the process of putting hardware, software and user together to prepare a system. System Installation I
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