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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 are the benefits of evolutionary prototyping? i. Fast delivery of the working system. ii. User is included while developing the system. iii. More useful system can b
Describe SilkTest? What is the methodology behind Silk test? SilkTest is a software testing automation tool which is developed by Segue Software, Inc. Methodology behind thi
Ask Create an XML file with markup tags and some sample data to represent a list of invoices.
Q. Illustrate the relationship between Time and cost? In software projects, time cannot be freely exchanged against cost. Such a trade off is limited by the nature of the softw
What is cyclomatic complexity? Cyclomatic complexity is given by McCabe. The general formula to compute cyclomatic complexity is M=V (G)=E - N + 2P Where E-Number of e
finds the c++ of resistance in series and parallel
Throw-away prototyping Objective: The principal objective of this model is to validate or to derive the system needs. It is developed to decrease requirement risks.
What does Data abstraction contains? A Data abstraction is a named collection of data that defines a data object Eg: door Attributes: door type, Opening mechanism, Swing di
Software for Searching Online Retrieval Systems : Each of the major online systems has its own software which supports its activities oil a host computer. Many of these hosts h
Explain in detail about Structural Modelling. Structural model contains a detail refinement of ERD, data flow model and control flow model. Creating an ERD. Examp
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