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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.
List the guidelines for data design. i. Apply systematic analysis on data. ii. Identify data structures and related operations. iii. Establish data dictionary. iv. Use
What are the various testing strategies for conventional software? i. Unit testing ii. Validation testing. iii. Integration testing. iv. System testing.
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Sanity testing is performed whenever cursory testing is sufficient to show the application is functioning according to specifications. This level of testing is a subset of regressi
Explain the concept of Decision Tables Decision table models complex logic into precise yet compact way. A decision table lists causes and effects in a matrix. Every column
State about the Data Dictionary This is another tool of requirement analysis that reduces complexity of DFD. A data dictionary is a catalog of all components of a system. DFD
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List the important properties of a modular system. Desirable properties are:- Every module is a well defined subsystem useful to others Every module has a well defined single
i want to select topic to my ethical issues assignment can u propose reasonable topic?
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