Statistical Methods in Software Engineering | Reliability and Risk

Nozer D. Singpurwalla (u. a.)

ISBN 10: 1461268206 / ISBN 13: 9781461268208

Published by Springer, 2012

About this Item

Statistical Methods in Software Engineering | Reliability and Risk | Nozer D. Singpurwalla (u. a.) | Taschenbuch | xiv | Englisch | 2012 | Springer | EAN 9781461268208 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 106118789

Bibliographic Details

• Title: Statistical Methods in Software Engineering | Reliability and Risk
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 1461268206
• ISBN 13: 9781461268208
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 18D millimeters 235 millimeters width by 155 millimeters height by 18 millimeters depth
• Weight: 482 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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 desire to streamline and organize our own thinking and work in this area. Our third objective is to provide a platform that facilitates an interface between computer scientists and statisticians to address a class of problems in computer science. It appears that such an interface is necessary to provide the needed synergism for solving some difficult problems that the subject poses. Our final objective is to serve as an agent for stimulating more cross-disciplinary research in computer science and statistics. To what extent the material here will meet our objectives can only be assessed with the passage of time. Our intended audience is computer scientists, software engineers, and reliability analysts, who have some exposure to probability and statistics. Applied statisticians interested in reliability problems are also a segment of our intended audience.