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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.
Explain about the software testing strategies. A method approach to software testing. Verification and Validation. Verification refers to the set of activities that ma
What is meant by software change? Software change is termed as the change in nature of software as the requirements of software changes.
Illustrate the example of Data dictionary of payroll Data dictionary of payroll may include below fields: PAYROLL = [Payroll Details] = @ employee name + employee + id
Difference between Pilot and Beta Testing. Pilot testing includes having a group of end users try the system prior to its full deployment in order to give feedback on its perfo
Ask question #Minimumreal time example 100 words accepted#
This case study looks at the requirements for an information system to manage the organisation of an international academic conference. An academic conference consists of presenta
A walk-through is an informal meeting for informational purposes or evaluation.
Explain different recording modes. There are two type of recording modes: context sensitive and analog. - Context Sensitive - identifies GUI objects and records operations
A) In terms of maintenance in software life cycle, does RUP or agile approach give better support? Describe your answer. B) Explain how agile development approach and RUP
Different levels of CMM: 1) Initial (maturity level 1) 2) Repeatable (maturity level 2) 3) Defined (maturity level 3) 4) Managed (maturity level 4) 5) Optimizing (
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