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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.
Problem: (a) Briefly explain the different phases and workflows of the Rational Unified Process. (b) What are the two benefits that might be gained when using such a life-c
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What are the characteristics of Software Software is engineered or formed; it is not manufactured in the classical sense. Software doesn't wear out. Although the indu
Stochastic testing is the similar as "monkey testing", but stochastic testing is a lot more technical sounding name for the similar testing process.
RAD Model Rapid Application Development Model is the part of incremental model. Achieves the high speed development using component based construction. Phases
What are the types of software maintenance? Corrective maintenance - Means the maintenance for correcting the software faults. Adaptive maintenance - Means maintenance for a
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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
What is a process modeling and management tool? Process modeling and management tools are used to show the key elements of a process so it can be better understood. Such tools
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