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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.
What are the aims of testing? i. Testing is a process of executing a program with the target of finding an error. ii. A good test case is one that has high possibilit
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Define Software design. Software design is an iterative process by requirements are translated into a "blue print" for constructing the software. The blue print dep
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What is meant by Throw away Prototyping? Giving the user a system which is incomplete and then changing and augmenting it as the user requires become clear. The objective
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Q. What is the use of a data flow diagram? Explain the important concepts of data flow diagram. Ans. A data flow diagram is utilized to show the functional view of an applica
Q. Explain cause effect graphing? Cause-effect graphing is the test case design technique that offers a concise representation of logical conditions and corresponding actions
Productivity Productivity refers to metrics and calculates of output from production processes, per unit of input. Productivity P may be conceived of as a metrics of the techni
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
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