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The present approach to productivity estimation, although useful, is far from being optimized. Based on the results of the variable analysis described in this paper, and supplemented by the results of the continued investigation of additional variables related to productivity, an experimental regression model has been developed. Preliminary results indicate that the model reduces the scatter. Further work is being done to determine the potential of regression as an estimating tool, as well as to extend the analyses of the areas of computer usage, documentation volume, duration, and staffing.
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