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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.
Define Brooks law. Software was delivered late, was defective, cost several times the original estimates and often showed poor performance characteristics.
Q. How Print statements used in Software testing? Print statements:-The standard print statement in the language being utilized is sprinkled throughout the program to output va
What does modality in data modeling indicates? Modality shows whether or not a particular data object must participate in the relationship.
Define Black box testing Black box testing Black-box test design care for the system as a "black-box", so it doesn't explicitly use knowledge of the internal structure. It ta
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Explain in detail about Structural Modelling. Structural model contains a detail refinement of ERD, data flow model and control flow model. Creating an ERD. Examp
Q. Illustrate the relationship between Time and cost? In software projects, time cannot be freely exchanged against cost. Such a trade off is limited by the nature of the softw
What is a user interface Ans) "User interface" is the interface among a human user and a computer system. It access the passage of information among a human user and hardware or
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