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Write down short notes on empirical estimation models?
What is cycle stealing DMA operation? Cycle Stealing: In this process, the DMA controller transfers one data word at a time, after which it must return control of the buses to
RAD Model Rapid Application Development Model is the method of incremental model. Achieves the high speed development using component based construction. Phases
What are the demerits of spiral model? i. It is depends on customer communication. If the communication is not suitable then the software product that gets developed will not r
project tracking and overview of project process?
Q. Explain the concept of bottom-up design? Bottom up design: This approach make possible a style of design where we decide how to combine these modules to provide larger ones
Illustrate about the SOFTWARE PROCESS TECHNOLOGY Software industry considers software development like a process. According to Rumbaugh and Booch, "A process defines who is
Iterative Enhancement Model Iterative Enhancement Model: This model has the similar phases as the waterfall model, but with fewer restrictions. Normally the phases happen in th
Q. Explain about Function count? Function count:- It measures the functionality from the user point of view that is on the basis of what the user requests and receives in ret
What is Desk Checking? Ans) A type of manual static analysis usually performed by the originator. Source code documentation, etc., is visually checked against needs and standard
What are the virtues of incremental model? i. The incremental model can be adopted when there are less number of persons associated with the project. ii. Technical risks can
Estimation model for computer software uses empirically copied formulas to predict effort as a function of line of codes (LOC) and function points (FP). The values of LOC and FP estimated are point into estimation model. The empirical data that hold up most estimation models are derived from a limited sample of projects. So, results get hold of from models should be used judiciously. The model has to be tested and compared with actual and predicted data.
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