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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.
Draw E-R diagram for the following situation An account is a relationship between customer and bank. A customer has a name. A bank has a branch. A customer may have numerous ac
Q. What is verification? Ans. Verification is the procedure of determining whether the output of one phase of software development conforms to that of its previous phase wh
Difference between Verification and Validation Verification is Static whereas Validation is Dynamic. This means in Verification the s/w is inspected by looking into the code go
Explain the Evolutionary Model. Ideal for software products that have their feature sets redefined during development because of user feedback and other factors. The Evolutiona
What is Problem Any deviation from defined standards. Similar as defect.
System software
What is the meaning of System Engineering? System Engineering means designing, deploying, implementing and operating systems which include hardware, software and user.
What are the different Rapid prototyping techniques? i. Dynamic high level language development. ii. Database programming. iii. Component and application assembly.
Evolutionary Prototype In this, prototype is constructed to learn about software problems and their solutions in successive steps. Prototype is initially developed to satisf
Explain the role and functions of a Systems Analyst in the overall project development.
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