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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 why waterfall model is more advantageous than adhoc methods. Ad-hoc Process Models- "Process capability is unpredictable due to the software process is constantly
A group process for generating original and diverse ideas.
explain dfd
what is ethics frameworks
Define Requirement Engineering . Requirement Engineering is a process in which all of the activities required to maintain and create a system requirements document. The four
Objectives of Requirement Analysis
Define design process. Design process is a sequence of steps carried through which the requirements are translated into a system or software model.
Q. What do you understand by black box testing? Black Box Testing:-Black Box Testing is as well called behavioural testing focuses on the functional requirements of the softwar
What are the advantages and disadvantages of big-bang? Advantages: This approach is simple. Disadvantages: It is hard to debug. It is difficult to isolate errors while testi
Difference between Verification and Validation Verification is Static whereas Validation is Dynamic. This means in Verification the s/w is inspected by looking into the code go
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