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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.
Q. Explain the development phases of the detailed COCOMO model. Ans A software development is performed in four successive phases which are as follows 1 : plan/requirement
Q. Define Evolutionary prototyping? Evolutionary Prototyping is also known as breadboard prototyping is quite different from Throwaway Prototyping. The major goal when using Ev
Path & Path Production, Syntax testing, Computer Engineering Take the following flow graph and use the procedure in chapter 8 to derive an equivalent regular expression. Show all i
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Determine the advantages of spiral model In this model Software development starts with lesser requirements specification, lesser risk analysisetc. Radical dimension this model
A testing method that aids in selecting, in a systematic way, a high-yield set of test cases that logically relates causes to effects to produce test cases. It has a useful side ef
Formal testing, usually conducted by the developer for the consumer, to demonstrate that the software meet its described requirements.
How software metrics is beneficial for sfotware engineer Using software metrics, software engineer measures software processes and requirements for that process. Software measu
Scenario A scenario is a sequence of events that happen in a particular implementation of the system. A scenario can be defined textually by enumerating the sequence of events
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