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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.
What does data modelling means? Data modelling is the first step in the analysis modelling. In data modelling the data objects are checked independently of processing. The data
what are the PEAS of E-mail agent
What is the use of a data flow diagram? A data flow diagram is used to represent the functional view of an application domain. It represents all the significant business proces
Q. Explain Equivalent size measure software metrics? Equivalent size measure:- Models makes no distinction between a new software and the portion being reused. The equivalent
A test method satisfying coverage criteria that needs each decision point at every possible branch to be implemented at least once.
Define about the erroneous data - Test data Abnormal/erroneous data - This is data outside the limits of validity/acceptability and must cause an error message to be g
Define software scope. The first software project management activity is the determination of software scope. Scope is defined answering the following questions. Context: Wh
What is EVA? Earned Value Analysis is a technique of performing quantitative analysis of the software project. It gives a common value scale for each task of software projec
Data collection A metrics programme should be based on a set of product and process data. Data should be collected immediately (not in retrospect) and, if possible, automati
What do we meant by software change ?
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