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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 is the advantages of Iterative model This model is useful when less manpower is available for software development and release deadlines are tight. It's best suited for in
we got the code for mobile app we need a document for that
Q. Why we use Coverage analyzers? Coverage analyzers (execution verifiers) A coverage analyzer is the most common and important tool for testing. It is often relatively simpl
how many people work in your hotel?
State Lehman's First law. A program that is used in true world environment essentially must change or become progressively less useful in that environment.
Software restructuring Software restructuring changes source code and / or data an effort to make it amenable to future changes. In general, restructuring does not change the o
What are the various testing activities? i. Test planning ii. Test execution iii. Test case design iv. Data collection v. Effective evaluation
how to extract the characters from the car plate image to car plate recognition. Matlab code
Distinguish between alpha and beta testing. Alpha and beta testing are the types of acceptance testing. Alpha test: The alpha testing is attesting in which the version o
Q. What is Function points? Function points : Function point calculates the functionality from the user opinion that is on the basis of what the user request and receives in r
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