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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.
Explain the waterfall model. Explain why it is more advantageous than adhoc methods. Ans Waterfall Model: 1.The waterfall model is a chronological software development p
A one-car taxi company receives an average of 18 calls per day. The receptionist takes down details of the requested journey and relays them to the driver by radio. Each passenger'
task set for a project plan
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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
Define software process. Software process is explained as the structured set of activities that are needed to develop the software system.
Consider an 8-bit system with 32 memory locations (numbered from 0 to 31) and 8 different instructions. Assume op code for "Load Accumulator" instruction is 5 10 and for "Add" ins
Asynchronous control
Distinguish between verification and validation. Verification refers to the set of activities that make sure that software correctly executes a specific function. Validation re
Q. Drive an expression for peak manning of a project using Nordes - Rayleigh equation . Ans Norden Rayleigh curve utilized to approximate software project . M(t) =Man powe
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