Software Reliability: Measurement, Prediction, Application (Mcgraw-Hill Series in Software Engineering and Technology)
| Author | : | |
| Rating | : | 4.85 (656 Votes) |
| Asin | : | 007044093X |
| Format Type | : | paperback |
| Number of Pages | : | 621 Pages |
| Publish Date | : | 0000-00-00 |
| Language | : | English |
DESCRIPTION:
It contains helpful appendices, glossaries of symbols and terms, challenging real-world cases, and extensive exercises.. This pioneering text for emerging courses in Software Reliability and Software Testing integrates the theoretical and pragmatic aspects of Software Reliability measurement
A little dated, but still great. This book covers not just the concepts of reliability modeling but also how to do it in the practical real-world.As with any book that shows the real-world approach, this one has sadly become dated, but the principles are the same. For instance, they recommend SMERFS what you really want is SMERFS^3, which does more only better. However, the models and math are equally applicable today as they were when the book was first written.While you can read any of the raving reviews for the contents, I'd like to provide some special kudos for the Appendix. This is bar far one of the best introductions to pr. "Seminal book that is still up-to-date" according to Mike Tarrani. This book is classified as a seminal work in that it was the first mainstream book to address software reliability. The author is considered to be one of the founders of the discipline. Although the body of knowledge has grown significantly since this book was first published it remains a valid text because unlike technology, the underlying math and modeling are nearly timeless. The book serves as an introduction to software reliability as a discipline, and gives a solid foundation of the basics. Be aware that this is a math-intensive text and requires both statistics and probability skills. You al. Four Stars Very good box , a must read.