Because the parameters used in mathematical models are frequently estimates, actual results may differ from those projected by the aforementioned mathematical analysis. To account for some of the uncertainities which may exist in a problem, analysts often conduct sensitivity analysis. The objective is to assess how much a solution might change if there are changes in model parameters. Assume in part A that the software development costs by outside firms might actually fluctuate by ±15%.
Compute the breakeven points if the costs are 15 percent higher or lower and compare your results with the mathematical model achieved prior to the sensitivity analysis.
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