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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.
Product Engineering The Product engineering which is also called system engineering is a problem solving activity. To function, desired product data, and behaviour are uncovere
Q. Explain the cost drivers and EAF of the intermediate COCOMO model? Ans. There are 15 different attributes described as cost drivers' attributes that determine the multiply
Top down design: A top down design approach begins by identifying the main modules of the system, decomposing them into their lower level modules and iterating unless the desired
What does it mean by business process engineering tools ?
how to create initialzer
Explain in detail about data modeling Data modeling creates use of the ERD. Having of 3 interrelated information. The data object. Relationships. Attributes
Determine the process of software Coding The input to coding phase is the SDD document. In this stage, design document is coded according to module specification. This phase t
Explain the compare of class diagram
Define Test Harness? Ans) A software tool that allows the testing of software components that links test capabilities to perform particular tests, accept program inputs, replica
? A store is in the business of selling paints and hardware items. A number of reputed companies supply items to the store. New suppliers can also register with the store after pro
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