US DoD Application Domain Empirical Software Cost Analysis
Loading...
Authors
Madachy, Raymond
Boehm, Barry
Clark, Brad
Tan, Thomas
Rosa, Wilson
Subjects
software cost estimation
software metrics
software cost models
software productivity
Department of Defense
software metrics
software cost models
software productivity
Department of Defense
Advisors
Date of Issue
2011
Date
Publisher
IEEE
Language
Abstract
General software cost parameters such as size,
effort distribution, and productivity are necessarily
imprecise due to variations by domain. To improve this
situation, empirical software cost analysis using the primary
US DoD cost database has been segmented by domain. This
analysis supports a software cost estimation metrics manual
for improvements in acquisition policies, procedures and
tools. We have addressed the challenges of consistent data
definitions and taxonomies across diverse stakeholder
communities, data integrity, data formats, and others. We
highlight example analysis results from an application
domain demonstrating cost estimating relationships,
benchmarks on reuse parameters and effort distributions for
estimators to use.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1109/ESEM.2011.56
Series/Report No
Department
Systems Engineering (SE)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Air Force Cost Analysis Agency
Funder
Format
4 p.
Citation
Madachy, Raymond, et al. "Us dod application domain empirical software cost analysis." Empirical Software Engineering and Measurement (ESEM), 2011 International Symposium on. IEEE, 2011.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.