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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.
Which type of software must not be automated? Following types of software must not be automated: - Incomplete/Unstable software since they are still undergoing changes -
What are the elements of design model? i. Data design ii. Component-level design iii. Interface design iv. Architectural design
Q. Explain about token count - software metrics? Token count :- A program is considered to be series of tokens and if we count the number of tokens, some interesting results m
Explain Infeasible Path? Program statement sequence that can never be implemented.
Question 1 V-Model and Spiral Model, Waterfall Model are of the software development processes. Companies are using these models to have a systematic and defined approach in softw
What is Quality assurance and standards? Standards are the key to efficient quality management. They may be international, national, and organizational or project standards.
Write short note on the various estimation techniques. Algorithmic cost modelling - the cost estimation is depend on the size of the software. Expert judgement - The experts fr
what is time line chart for travel management?
Describe Data dictionary ?
Test Build Managers, System Administrators and Database Administrators deliver new software versions to the test environment, install the application's software and apply software
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