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Quantifying Uncertainty in Early Lifecycle Cost Estimation

Podcast
In this podcast episode, Jim McCurley and Robert Stoddard discuss a new method developed by the SEI's Software Engineering Measurement and Analysis (SEMA) team, Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE).
Publisher

Software Engineering Institute

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Abstract

By law, major defense acquisition programs are now required to prepare cost estimates earlier in the acquisition lifecycle, including pre-Milestone A, well before concrete technical information is available on the program being developed. Estimates are therefore often based on a desired capability-or even on an abstract concept-rather than a concrete technical solution plan to achieve the desired capability. Hence the role and modeling of assumptions becomes more challenging. In today's podcast episode, Jim McCurley and Robert Stoddard discuss a new method developed by the SEI's Software Engineering Measurement and Analysis (SEMA) team, Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE). QUELCE is a method for improving pre-Milestone A software cost estimates through research designed to improve judgment regarding uncertainty in key assumptions (called "program change drivers"), the relationships among the program change drivers, and their impact on cost.

About the Speaker

James McCurley

James McCurley is an SEI alumni employee.

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Robert Stoddard

Robert W. Stoddard

Robert Stoddard is an SEI alumni employee.

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