Panel on statistical methods in software engineering (5 resultados)
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
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 104,26
Envío por EUR 4,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Statistical Software Engineering
Panel on Statistical Methods in Software Engineering; Commission on Physical Sciences, Mathematics, and Applications; Division on Engineering and Phy
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 123,74
Envío por EUR 9,50Se envía de Irlanda a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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 s…oftware 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. . . . .
Statistical Software Engineering
Panel on Statistical Methods in Software Engineering/ National Research Council
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 130,13
Envío por EUR 11,67Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 151,19
Envío por EUR 9,01Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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 s…oftware 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.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 132,50
Envío por EUR 61,26Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: 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 opportun…ities 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.
