Statistical Methods in Software Engineering
Subtitle: Reliability and Risk
By: by Nozer D. Singpurwalla, Simon P. Wilson
Contributors: Wilson, Simon P.
Series: Springer Series in Statistics; Springer series in statistics
Publisher: Springer New York
Published: 1999
Place of publication: New York, NY
Language: eng
Format: [electronic resource] :
Number of pages: 297
ISBN-13: 9781461268208; 9781461205654
Subjects: Statistics; Software engineering
Description: This book establishes a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. It brings in perspective the large body of work having statistical content that is relevant to software engineering. The audience is computer scientists, software engineers, and reliability analysts, who have some exposure to probability and statistics. The content is pitched at a level that is appropriate for research workers in software reliability, and for graduate level courses in applied statistics computer science, operations research, and software engineering.
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