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Statistical Methods in Software Engineering
Singpurwalla, Nozer D.; Wilson, S.P.
€ 200.11
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Description for Statistical Methods in Software Engineering
Hardback. Aims to establish a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. This book brings in perspective the large body of work having statistical content that is relevant to software engineering. Series: Springer Series in Statistics. Num Pages: 311 pages, biography. BIC Classification: PBT; UMZ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 19. Weight in Grams: 620.
This preface pertains to three issues that we would like to bring to the attention of the readers: our objectives, our intended audience, and the nature of the material. We have in mind several objectives. The first is to establish a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. The second is to bring into perspective the large body of work having statistical content that is relevant to software engineering, which may not have appeared in the traditional outlets devoted to it. Connected with this second objective is a ... Read more
This preface pertains to three issues that we would like to bring to the attention of the readers: our objectives, our intended audience, and the nature of the material. We have in mind several objectives. The first is to establish a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. The second is to bring into perspective the large body of work having statistical content that is relevant to software engineering, which may not have appeared in the traditional outlets devoted to it. Connected with this second objective is a ... Read more
Product Details
Format
Hardback
Publication date
1999
Publisher
Springer-Verlag New York Inc. United States
Number of pages
311
Condition
New
Series
Springer Series in Statistics
Number of Pages
297
Place of Publication
New York, NY, United States
ISBN
9780387988238
SKU
V9780387988238
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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