PLAY PODCASTS
Quantifying Uncertainty in Early Lifecycle Cost Estimation

Quantifying Uncertainty in Early Lifecycle Cost Estimation

Software Engineering Institute (SEI) Podcast Series · Carnegie Mellon University Software Engineering Institute

November 1, 201210m 5s

Audio is streamed directly from the publisher (traffic.libsyn.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

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. Listen on Apple Podcasts.