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Innovations in Software Engineering for Defense Systems

By: National Research Council Division on Engineering and Physical Sciences Committee on Applied and Theoretical Statistics Division of Behavioral and Social Sciences and Education Committee on National Statistics Oversight Committee for the Workshop on Statistical Methods in Software Engineering for Defense Systems Michael L. Cohen Jesse H. Poore Siddhartha R. Dalal (Author)

Ksh 5,830.00
Format :

Format(s): DRM PDF

ISBN-13: 9780309526319

Publisher: National Academies Press

Imprint: National Academies Press

Publication Date: September 22nd, 2003

Country of Publication: US

Language: English

Pages: 87

Physical Edition EAN: 9780309089838

Category: Research methods: general , Social research & statistics , Public administration , Mathematics , Science: general issues , Military engineering

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  • Author Bio

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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