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Most Helpful Customer Reviews
6 of 6 people found the following review helpful:
5.0 out of 5 stars
Standard for the field of S/W Reliability,
By Frederick Arioli (Silicon Valley, CA) - See all my reviews
This review is from: Handbook of Software Reliability Engineering (Hardcover)
This is an excellent technical book that should be a standard reference for anyone working in the field of S/W QA/Reliablity. The work assumes a mathematical background at the upper division/graduate level. The section on orthogonal defect classification is especially good. This is an essential work for anyone compiling metrics for gauging how well a S/W development effort is progressing. Software is supplied for performing one's own analyses. Meaty stuff for the serious S/W QA engineer! Well done.
3 of 3 people found the following review helpful:
5.0 out of 5 stars
The best handbook I've seen on the subject.,
By
This review is from: Handbook of Software Reliability Engineering (Hardcover)
Professor Lyu defines, catalogs, explains, and demonstrates concepts and models for reliability. If you're trying to answer questions like "based on historical data, when is the next expected failure," or "what model best predicts my software's reliability," or "when will the software be stable" then you need this book. True to its name, it is a handbook, so you can jump around and cross reference, but you can also read it like a book. Note, however, that there is some fairly heavy statistical math. Don't let all the greek letters scare you. It's all explained, and it has a fantastic appendix that covers all you need to know concerning statistics to use the book without the mumbo-jumbo. To complete your collection, go to the web and obtain a copy of SMERFS^3, which is a software package developed by Dr. William Farr that does all the modeling math for you. Additionally, check out the book Software Reliability by Musa/Iannio/Okumoto (0-07-044093-X). These two things, together with this book will equip you for just about anything you need to measure.
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