Overview
- Authors:
-
-
Nozer D. Singpurwalla
-
Department of Operations Research, The George Washington University, USA
-
Simon P. Wilson
-
Department of Statistics, Trinity College, Dublin 2, Ireland
Access this book
Other ways to access
Table of contents (7 chapters)
-
-
- Nozer D. Singpurwalla, Simon P. Wilson
Pages 1-11
-
- Nozer D. Singpurwalla, Simon P. Wilson
Pages 13-66
-
- Nozer D. Singpurwalla, Simon P. Wilson
Pages 67-99
-
- Nozer D. Singpurwalla, Simon P. Wilson
Pages 101-167
-
- Nozer D. Singpurwalla, Simon P. Wilson
Pages 169-190
-
- Nozer D. Singpurwalla, Simon P. Wilson
Pages 191-219
-
- Nozer D. Singpurwalla, Simon P. Wilson
Pages 221-245
-
Back Matter
Pages 247-297
About this book
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.
Authors and Affiliations
-
Department of Operations Research, The George Washington University, USA
Nozer D. Singpurwalla
-
Department of Statistics, Trinity College, Dublin 2, Ireland
Simon P. Wilson