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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.
Write down any four application of a stack. (i) Conversion of infix to postfix form (ii) Reversing of a line. (iii) Removal of recursion (iv) Evaluating post fix expression
1. Testing that employs a test data selection method designed to obtain test data capable of demonstrating the absence of a set of pre-specified faults, typically, frequently happe
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Q. Explain about Special Value Testing? Special Value Testing is the form of functional testing. Special value testing take places when a tester uses his or her domain knowle
Explain the design steps of the transform mapping. Review the fundamental model. Review and refine the DFD for the software. Verify whether the DFD has the transf
I am currently working on a project and am far from passing, I need help ASAP! The project task is to create a Decision support system for An Airline. It must predict and make de
Define Data Dictionary. The data dictionary can be explained as an organized collection of all the data elements of the system with precise and rigorous explanations so that us
What is Data Dictionary? Data dictionary is a storehouse of data giving information about data. It is a list of terms and their meaning for all data items and data files of a s
Q. Describe the various types of restructuring techniques? Ans. Software restructuring modifies source code as well as data an effort to make it amenable to future changes
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