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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.
How is cyclomatic complexity useful in program test? Cyclomatic complexity calculates the amount of decision logic in a single software module. It is used for two related purpo
What is Non-intrusive Testing? Testing that is transparent to the software under test; i.e., testing that does not alter the timing or processing characteristics of the software
Write down the SRC for "Add a node" Function Add node Description Adds a node to an existing design. Inputs Node type, Design Identifier, Node position Source
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List the guidelines for data design. i. Apply systematic analysis on data. ii. Identify data structures and related operations. iii. Establish data dictionary. iv. Use
explain the data dictionery
In order to minimize the energy consumption, the report will first identify the components that are consuming most energy in a system. Clearly, above mentioned are those components
Well establish garment factory (large scale- one of country biggest) received order of 40,000 fabric to complete within 12 weeks. (This is well profitable order which cannot be ign
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