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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 principles of testing Below are some of the principles of testing: i) All tests must be performed according to user requirements. ii) Planning of tests m
What are the general activities in design process? i. System structuring - The system is separated into principle subsystems components and communications among these subsystem
Parallel/audit testing is testing where the user reconciles the output of the latest system to the output of the present system to determine the new system performs the operations
What are the merits of incremental model? i. The incremental model can be adopted when there is less number of people included in the project. ii. Technical risks can be ma
Define Brooks law. Software was delivered late, was not reliable, cost various times the original estimates and often exhibited poor performance characteristics.
Database Definition: There are four basic steps involved in defining a database. They are: i) Creating a Field Definition Table (FDT) : The possible content of data recor
Abstraction :- Abstraction allows one to concentrate on a problem at some level of generalization without regard to irrelevant low level details; use of abstraction also allows one
Micro CDS/ISIS Application: In libraries there are a number of repetitive operations. If one Miens the procedures for ordering, receiving, processing and circulating a book, o
What does Validation represent? Validation shows the set of activities that ensure that the software that has been built is satisfying the customer needs.
Software life cycle starts when a software product is first conceived and ends when it is no longer in use. It contains aspects such as initial concept, requirements analysis, inte
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