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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 Quality plans? Quality plan structure Product plans; Product introduction; Process descriptions; Quality goals; Risks and risk management.
Problem: a) Assume a washing machine. List all possible states of the washing machine. Draw a state diagram showing also the events triggering the change of states where poss
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Q. What is Standard enforces? Standard enforces This tool is like a code inspector; expect that the rules are generally simpler. The main distribution is that a full-blown
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Q. Explain about Core dumps debugging technique? Debugging is the activity of locating as well as correcting errors. Core dumps: -A printout of all registers as well as rel
Q. Differentiate between structured analysis and structured design? Ans. The aim of structured examination is to transform the textual description of a problem into a graphic
Determine the technique - Parallel With this approach, old and new systems are run together for a time - If new system goes down for any reason, you still have old system
Distinguish between alpha and beta testing. Alpha and beta testing are the types of acceptance testing. Alpha test: The alpha testing is attesting in which the version o
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