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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.
Define debugging. Debugging is defined as the process of removal of defect. It occurs as a consequence of successful testing.
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.
Give explanation about the software testing strategies. A strategic approach to software testing. Verification and Validation. Verification means a set of work o
database mapping from class to database
What are the different Rapid prototyping techniques? i. Dynamic high level language development. ii. Database programming. iii. Component and application assembly.
What is cardinality in data modelling? Cardinality in data modeling, cardinality verifies how the number of occurrences of one object is related to the number of occurrences of
Define the types of Requirements management Requirements management comprises the below processes: 1. Identifying controls and tracking requirements. 2. Checking complete
why are older data models are being replaced by new data models
Explain in detail about Integration testing. It is a systematic method for constructing the program structure. Incremental integration - The program is constructed and
Define Data Dictionary. The data dictionary is defined as an organized collection of all the data elements of the system with accurate and rigorous definitions so that user and
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