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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.
How many types of project plan. Quality plan - This plan describes the quality techniques and standards that will be used in a project. Validation plan - This plan explains the
What are the guidelines for data design? i. Use systematic analysis on data. ii. Find data structures and related operations. iii. Prepare data dictionary. iv. Use inf
Database Definition: There are four basic steps involved in defining a database. They are: i) Creating a Field Definition Table (FDT) : The possible content of data recor
To develop software of lasting quality you have to lay down a solid architectural foundation that is resilient to change. Modelling is at the heart of the development of good quali
What are the phases of Problem solving Loop? Problem definition shows the problem to be solved. Technical developmentSolve the Problem by some Technology. Solution Integr
describe process
Q.Illustrate Intermediate COCOMO model ? The intermediate COCOMO model approximation the software development effort by using 15 cost drivers' variables besides the size variab
What is SCI? Software Configuration Item is in order that is carried as part of the software engineering process.
The level at which the software uses scarce resources Efficiency level.
developer
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