Panel on statistical methods in software engineering (5 résultats)
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
- Couverture souple
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 104,10
EUR 4,85 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
PAP. Etat : 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
- Couverture souple
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandeKennys Bookshop and Art Galleries Ltd.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 123,74
EUR 9,50 expéditionExpédition depuis Irlande vers Etats-UnisQuantité disponible : 1 disponible(s)
Etat : 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 softw…are 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
- Couverture souple
Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 129,93
EUR 11,65 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : 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
- Couverture souple
Vendeur : Kennys Bookstore, Olney, MD, Etats-UnisKennys Bookstore
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 150,93
EUR 8,99 expéditionExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Etat : 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 softw…are 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.
- Couverture souple
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 132,50
EUR 61,26 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Taschenbuch. Etat : 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 opportunitie…s 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.
