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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 about the incremental model. Have similar phases as the waterfall model. Phases are Analysis. Design. Code. Test. Incremental model delivers
explain coupling
Q. Explain the software life cycle model that incorporates risk factor. Ans. The problem with traditional software process models is that they don't deal sufficiently with th
A University has asked you to design and implement a simple database to store student and module details (including details of which school students belong to and which schools run
What is Random Testing? This is one of process used to exercise a class. It is based on developing a random test series that tries the minimum number of operations typical to th
Question: (a) Consider that every software failure can be classified as either • Syntactic, • Semantic, • System crash. Suppose additionally that every system crash fa
Draw ontext diagram
What is SCI? Software Configuration Item is information that is carried as part of the software engineering process.
The Clue-Less system is a software version of the popular board game Clue. The rules of Clue-Less mirror those of Clue, with the exception of a modified navigation scheme. The soft
what is software process model and waterfall model?
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