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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.
An integration testing methods that tests the high-level components first using stubs for lower-level known as components that have not yet been integrated and that stimulate the n
Q. Explain about Communicational cohesion? Communicational cohesion: The Communicational cohesion is when parts of a module are grouped for the reason that they operate on th
What is meant by software change? Software change is explained as the change in nature of software as the needs of software changes.
I am not properly understanding the basis difference between black box testing and white box testing. Please explain in simple way and with some example so that I can easily under
Q. What do you mean by Core dumps? Core dumps are a repairing technique. A printout of all applicable memory locations is obtained and studied. All dumps must be well documente
Describe the effect of defining a prototype on the overall cost of the software project? The prototyping model: In this model, a prototype (an previous approximation of a fin
What is Configuration management planning? All products of the software process may have to be managed: Specifications; Designs; Programs; Test data; User
Q. What is the use of a data flow diagram? Explain the important concepts of data flow diagram. Ans. A data flow diagram is utilized to show the functional view of an applica
Q Calculates function point value for a project with the following domain characteristics: No. of I/P = 30 No. of O/P = 62 No. of user Inquiries = 24 No. of fil
What does Data abstraction contains? A Data abstraction is a named collection of data that describes a data object Eg: door Attributes: door type, Opening mechanism, Swing d
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