  The estimation of project completion time is to be repeated several times in
the project planning phase to reach the optimal tradeoff between time, cost,
and quality. Estimation procedures provide either an interval or a point
estimate. The computational load of several estimation procedures is reviewed.
A multiple polynomial regression model is provided for major interval
estimation procedures and shows that the accuracy in the probability model for
activities is the most influential factor. The computational time does not
appear to be an impeding factor, though it is larger for MonteCarlo simulation,
so that the computational time can be traded off in search of a simpler
estimation procedure.
