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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.
Objectives of Requirement Analysis
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Hardware Requirements: INMAGIC Plus software package requires the following computer configuration: i) Micro : IBM PC or compatible with a minimum 640 K RAM. ii) Ope
Q. Define the Product metrics? (i) Product metrics: Explains the characteristics of the product such as complexity, size, design features, performance, efficiency, reliability,
When you write to a file, you do what?
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Describe how the goals of quality control (QC) flexible manufacturing systems (FMS), design for assembly (DFA)and low overall costs can be best combined by computer integrated manu
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