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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.
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.
Determine the various levels of testing The following are various levels of testing: Large systems are built out of subsystems which are made up of modules, modules of funct
What is CMMI framework? The CMMI framework is the present stage of work on process assessment and improvement that started at the Software Engineering Institute in the 1980s.
Mention some of the drawbacks of RAD model. Unuseful for a large-scale projects. Interest of developers & customers are necessary. Not useful and perfect when technica
Define the Minimum cardinality of a relationship Minimum cardinality of a relationship is the minimum number of instances of second entity (student, in this case) with every in
Software
Alpha testing and Beta testing Alpha testing is conducting acceptance testing in the environment where the application was formed. It is done by the customer. Beta testing is c
i want a complete example
explain ring counter
Q. Explain Different Phases of spiral model? 1) Planning: In this phase the objectives alternatives as well as constraints of the project are determined or documented. The ob
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