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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.
User and System documentation with examples. User documentation having descriptions of the functions of a system without reference to how these functions are executed. Examples
Draw ontext diagram
what is the advantage of Iterative Enhancement Model in developing a system?
Q. Explain Different Phases of spiral model? 1) Planning: In this phase the objectives alternatives as well as constraints of the project are determined or documented. The ob
Explain critical design review The purpose of critical design review is to make sure that the detailed design satisfies the specifications laid down during system design. The
Q. Discuss some of the problems that are faced during maintenance of software? - Habitually another person or group of persons working over the years in isolation from each oth
What is configuration Management? Software Configuration management (SCM) is the task of tracking and controlling alters in the software. Configuration management practices con
What is Desk Checking? Ans) A type of manual static analysis usually performed by the originator. Source code documentation, etc., is visually checked against needs and standard
Q. What are dynamic testing tools? Explain the functions that they must support. Ans. Dynamic testing tools: 1: coverage analyzers (execution verifiers): A coverage anal
Determine the aspects of prototyping model. Figure below portrays prototyping model. Prototype model has the below aspects: (i) It helps in determining user requirements
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