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A01=Committee on Applied and Theoretical Statistics
A01=Committee on National Statistics
A01=Division of Behavioral and Social Sciences and Education
A01=Division on Engineering and Physical Sciences
A01=National Research Council
A01=Oversight Committee for the Workshop on Statistical Methods in Software Engineering for Defense Systems
Author_Committee on Applied and Theoretical Statistics
Author_Committee on National Statistics
Author_Division of Behavioral and Social Sciences and Education
Author_Division on Engineering and Physical Sciences
Author_National Research Council
Author_Oversight Committee for the Workshop on Statistical Methods in Software Engineering for Defense Systems
Category=JHBC
Category=JW
Category=PDM
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
eq_society-politics

Product details

  • ISBN 9780309089838
  • Dimensions: 152 x 229mm
  • Publication Date: 22 Sep 2003
  • Publisher: National Academies Press
  • Publication City/Country: US
  • Product Form: Paperback
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Recent rough estimates are that the U.S. Department of Defense (DoD) spends at least $38 billion a year on the research, development, testing, and evaluation of new defense systems; approximately 40 percent of that cost-at least $16 billion-is spent on software development and testing. There is widespread understanding within DoD that the effectiveness of software-intensive defense systems is often hampered by low-quality software as well as increased costs and late delivery of software components. Given the costs involved, even relatively incremental improvements to the software development process for defense systems could represent a large savings in funds. And given the importance of producing defense software that will carry out its intended function, relatively small improvements to the quality of defense software systems would be extremely important to identify. DoD software engineers and test and evaluation officials may not be fully aware of a range of available techniques, because of both the recent development of these techniques and their origination from an orientation somewhat removed from software engineering, i.e., from a statistical perspective. The panel's charge therefore was to convene a workshop to identify statistical software engineering techniques that could have applicability to DoD systems in development.

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