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A Quantitative Methodology for Estimating Total System Cost Risk

Authors: Albin D. Kazanowski;

A Quantitative Methodology for Estimating Total System Cost Risk

Abstract

Abstract : This report presents a complete, detailed methodology for deriving quantitative estimates of program/system cost-risk. The procedures for completely algebraic and direct. They do not rely on Monte Carlo or Method of Moments techniques. Principle sources of uncertainty that contribute to cost- risk are identified for each of the four costing approaches treated in the methodology: Parametric Costing Approach; Engineering (Bottom-Up/Grass Roots) Costing Approach; Analogous (Scaling) Costing Approach; and Constant Multiplier Costing Approach.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Top 10%
Average
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