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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.
Cloud computing is becoming an unrelenting force that is driving competition in the ERP industry and can no longer be ignored by legacy systems, such as Oracle and SAP. Larry Ellis
Q. Explain Lines of code - Software Metrics? Lines of code (LOC) is a software metric used to measure the size of a software program by counting the number of lines in the te
What is Relationship Entities are associated to each other by relationships. It denotes how two entities are associated. A diamond notation with name of relationship signifi
Describe the various elements of data design? i. Data object - The data objects are identified and relationships among various data objects are represented using ERD or data di
Mentoring a class at a university. is project or process??
Applicability: It is another significant characteristic of a model. The model should be judged by its degree of applicability across software products that change in size, structu
Write about the types of project plan. Quality plan - This plan explains the quality procedures and standards that will be used in a project. Validation plan - This plan explai
Testing a new or an changed data processing system with the similar source data that is used in another system. The other system is taken as the standard of comparison.
Write down the Data dictionary for the data item "Telephone Number". Names: Telephone number Aliases: none Where to use /How to use: assess against set-up Explanation
Explain in detail the design concepts Abstraction Data abstraction Functional abstraction •Control abstraction Information hiding •Every module in the s
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