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Software Development Cost Estimation Executive SummaryIdentify simple fully validated cost models that provide estimation uncertainty with cost estimate. Based on COCOMO variable set. Use machine learning techniques to determine: a) Minimum number of cost drivers required for NASA domain based cost models; b) Minimum number of data records required and c) Estimation Uncertainty. Build a repository of software cost estimation information. Coordinating tool development and data collection with: a) Tasks funded by PA&E Cost Analysis; b) IV&V Effort Estimation Task and c) NASA SEPG activities.
Document ID
20070011732
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Hihn, Jairus M.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Menzies, Tim
(West Virginia Univ. Morgantown, WV, United States)
Date Acquired
August 23, 2013
Publication Date
July 18, 2006
Subject Category
Systems Analysis And Operations Research
Meeting Information
Meeting: NASA Software Assurance Symposium Annual Meeting
Location: Morgantown, WV
Country: United States
Start Date: July 18, 2006
End Date: July 20, 2006
Distribution Limits
Public
Copyright
Other
Keywords
data mining
software effort estimations
model validation

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