Statistical Methods in Software Engineering: Reliability and Risk (Springer Series in Statistics) (Hardcover)

by Nozer D. Singpurwalla (Author), Simon P. Wilson (Author) "Since the dawn of the computer age, in the 1940s, we have witnessed a prodigious increase in the performance and use of computers..." (more)
Key Phrases: concatenated failure rate function, prequential prediction, rejection kernel, Statistical Analysis of Software Failure Data, Gaussian Kalman, Failure Number (more...)

Editorial Reviews

Product 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.

Book Info
Establishes a framework for dealing with uncertainties in software engineering, and using quantitative measures for decision making in this context. DLC: Software engineering.

• Hardcover: 316 pages
• Publisher: Springer; 1 edition (August 5, 1999)
• Language: English
• ISBN-10: 0387988238
• ISBN-13: 978-0387988238
• Product Dimensions: 9.5 x 6.3 x 0.8 inches
• Shipping Weight: 1.2 pounds (View shipping rates and policies)
• Average Customer Review: No customer reviews yet. Be the first.
• Amazon.com Sales Rank: #300,141 in Books (See Bestsellers in Books)

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