Date of Award


Document Type


Degree Name

Master of Science in Cost Analysis


Department of Mathematics and Statistics

First Advisor

Edward D. White, PhD.


different angles have been looked at to try and discover how to better estimate cost, what causes cost growth, and how to mitigate it. This research addresses this through examining cost growth from a longitudinal perspective, evaluating cost growth factors at major program reviews, and assessing the cost growth by applying color rating metrics. The results of this analysis show that breaking cost growth into longitudinal segments of a programs lifecycle allows the true behavior of cost growth to be seen, when it can often be masked in the traditional approach of evaluating lifecycle cost growth. Additionally, when applying the proposed color rating system to cost growth factors, significant variables are found to have dependencies with cost growth factor color ratings. Significant relationships shown in the results were most commonly like-color predictor and response variables. Additionally DT&E is shown as a flag for high cost growth issues during a program lifecycle.

AFIT Designator


DTIC Accession Number