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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. Illustrate key process areas of CMM? The key process areas of CMM are 1. Requirements management that establishes a common relationship between the customer and developer
What is the meaning of Real time system? Real time system is a software system where the correct functionalities of the system are dependent upon results evaluated by the syste
Q. What is Standard enforces? Standard enforces This tool is like a code inspector; expect that the rules are generally simpler. The main distribution is that a full-blown
Explain in detail structure with diagram
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.
Data Flow Diagrams (DFD) It's a graphical representation of flow of data through a system. It pictures a system like a network of functional processes. The foundation of DFD i
What is a software package writer
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
What are the various elements of data design? i. Data object - The data objects are identified and relationship between various data objects can be shown using ERD or data di
Distinguish between alpha testing and beta testing. Alpha test and Beta test The alpha test is prepared at the developer site. The software is used in a natural setting wi
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