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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.
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Q. Differentiate between failures and faults? Ans. Failure: -Failure is the disappearance of external results of program operation from requirements. Consequently failure is
You are preparing a bid for a refinery control system for Australian Petroleum Ltd (APL) using the CoCoMo 81 estimation model. You are familiar with industrial control system softw
Q. Describe about Unit Testing? Unit Testing: The unit testing is completed to test the individual module of the software. Test cases are designed to test the program functiona
i want to select topic to my ethical issues assignment can u propose reasonable topic?
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true/false small errors in syntax or spelling of a line of code will not affect the results
Q. Illustrate Basic COCOMO model? Basic COCOMO model:- It provides an order of magnitude of cost. This model utilizes estimated size of software project and the type of softwar
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