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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.
List the pre-requisites for white-box testing Pre-requisites for white-box testing are similar to black-box testing with one key difference: - During white-box testing, test
Explain an error checklist for inspection in detail.
Compare and contrast two operating systems
System Development Life Cycle (SDLC) stages are sometimes known as System Study. System concepts which are important in developing business information systems expedite problem sol
Write the Problems with the CMM. Practices associated with model levels Companies could be using practices from dissimilar levels at the same time but if all practices
Objectives of Requirement Analysis
Explain the Length of identifiers Length of identifiers :- This is a measure of the average length of separate identifiers in a program. The longer the identifiers, the more
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.
Define Data objects, attributes & relationship. Data object: Representation of any collective information that must be understood by software. It can be any external entity.
What are the benefits of prototyping? i. Prototype uses as a basis for deriving system specification. ii. Design quality can be better. iii. System can be handled efficie
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