Statistical Methods in Software Engineering: Reliability and Risk

Springer Series in Statistics

by Nozer D. Singpurwalla, Simon P. Wilson

In establishing a framework for dealing with uncertainties in software engineering, and for using quantitative measures in related decision-making, this text puts into perspective the large body of work having statistical content that is relevant to software engineering. Aimed at computer scientists, software engineers, and reliability analysts who have some exposure to probability and statistics, the content is pitched at a level appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.

311 pages, Hardcover

First published August 5, 1999