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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.
Introduction Energy consumer in the computer system is getting critical all around the globe now. Therefore, the ability to figure out the components that consume energy in sys
Q. Define Software testability? Software testability is the degree to which a software artifact (i.e. a software system, software module, requirements- or design document) su
What is boundary data- Test data Extreme/boundary data - This is data at the limits of validity/acceptability (for instance, if a date is being input, two values at the
Explain an error checklist for inspection in detail.
Q. Explain Test harness systems and Test archiving systems? Test harness systems: This is one that is bound around the test object and that permits the easy modification a
Scenario A scenario is a sequence of events that happen in a particular implementation of the system. A scenario can be defined textually by enumerating the sequence of events
What is cyclomatic complexity? Cyclomatic complexity is given by McCabe. The general formula to compute cyclomatic complexity is M=V (G)=E - N + 2P Where E-Number of e
what effect does memory have on dma? what about on board cache? how much are the system buses available?
Explain SDLC ? Ans) SDLC-( software development life cycle) is an acronym.
QUESTION a) What is a software package? b) A lot of data is collected and stored on digital medium today. Organisations rely a lot on the data for their smooth running. Desc
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