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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.
Explain in detail about Structural Modeling. Structural model having a detail refinement of ERD, data flow model and control flow model. Creating an ERD. Example: Saf
What is cyclomatic complexity? Cyclomatic complexity is software metric that provides the quantitative measure of logical difficulty of the program. The Cyclomatic complexit
Write the algorithm to print at list of numbers from 1 to 5 and there square
how transaction mapping is done.??clear me with a brief example
true/false small errors in syntax or spelling of a line of code will not affect the results
The aim of regression testing is to test that the fixes have not formed any other problems elsewhere. The aim is to ensure the software has remained intact. A baseline set of data
Incremental integration testing is permanent testing of an application as new functionality is recommended. This may need that various aspects of an application's functionality are
Text Retrieval Packages: Text retrieval comprises storage and subsequent retrieval of rat girds, essentially textual rather than numerical, tabular or graphical. Although, eac
Q. Define Evolutionary prototyping? Evolutionary Prototyping is also known as breadboard prototyping is quite different from Throwaway Prototyping. The major goal when using Ev
Features of Cds - isis software: Main Features The main features of CDS/ISIS software may briefly be summarised as follows: the handling of variable length records, fi
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