Panel on statistical methods in software engineering (4 Ergebnisse)
Statistical Software Engineering
National Research Council; Division On Engineering And Physical Sciences; Commission On Physical Sciences, Mathematics, And Applications; Panel On Statistical Methods In Software Engineering
- Softcover
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EUR 104,33
EUR 4,86 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Statistical Software Engineering
Panel on Statistical Methods in Software Engineering/ National Research Council
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 130,21
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Paperback. Zustand: Brand New. 73 pages. 11.00x8.50x0.25 inches. In Stock.
Statistical Software Engineering
Panel on Statistical Methods in Software Engineering; Commission on Physical Sciences, Mathematics, and Applications; Division on Engineering and Phy
- Softcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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EUR 154,05
EUR 9,18 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: New. Identifies opportunities in development and implementation of software that contain statistical content. This book presents opportunities for research in the statistical sciences and their applications in software engineering. Statistical thinking can help to increase understanding, productivity, and quality of sof…tware and software production. Num Pages: 84 pages, Illustrations (some col.). BIC Classification: UMZ; UYAM. Category: (P) Professional & Vocational. Dimension: 280 x 216 x 7. Weight in Grams: 249. . 1996. Paperback. . . . . Books ship from the US and Ireland.
- Softcover
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EUR 134,09
EUR 61,25 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunit…ies for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the 'big picture,' as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.
