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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 testing principles the software engineer must apply while performing the software testing? i. All tests should be traceable according to customer requirements.
Hybrid design: Pure top-down or pure bottom up approaches are often not practical thus hybrid approach which combines the above two approaches is often used.
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Discuss some of the problems that are faced during maintenance of software. The problems are: - Often another person or group of persons working over the years in isolat
Modified ER diagram representing cardinalities When minimum cardinality of a relationship is one, then second entity is known as mandatory participant in the relationship. Ma
What is architectural evolution? Architectural evolution is the method of changing a system from a centralized architecture to a distributed architecture as client server.
What are the different architectures developed during BPE? Data architecture framework for the information requires of a business. Application architecture incorporates the
What are the various types of system testing? 1. Recovery testing - is planned to check the system's ability to recover from failures. 2. Security testing - determines t
Why does the software design improve when we use object-oriented concepts? The software design improves when we use object-oriented concepts because 1. Object-orientatio
Explain Length of code This is a measure of the size of a program. Usually, the larger the size of the code of a component, the more difficult and error-prone that component is
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