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Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement
 
 

Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement [Hardcover]

Jeff Tian
5.0 out of 5 stars  See all reviews (1 customer review)
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" … seasoned throughout with practical experience and examples … these combine to give a well-balanced feel overall which is really quite satisfying." (Software Testing, Verification and Reliability, June 2006)

Product Description

The one resource needed to create reliable software

This text offers a comprehensive and integrated approach to software quality engineering. By following the author's clear guidance, readers learn how to master the techniques to produce high-quality, reliable software, regardless of the software system's level of complexity.

The first part of the publication introduces major topics in software quality engineering and presents quality planning as an integral part of the process. Providing readers with a solid foundation in key concepts and practices, the book moves on to offer in-depth coverage of software testing as a primary means to ensure software quality; alternatives for quality assurance, including defect prevention, process improvement, inspection, formal verification, fault tolerance, safety assurance, and damage control; and measurement and analysis to close the feedback loop for quality assessment and quantifiable improvement.

The text's approach and style evolved from the author's hands-on experience in the classroom. All the pedagogical tools needed to facilitate quick learning are provided:
* Figures and tables that clarify concepts and provide quick topic summaries
* Examples that illustrate how theory is applied in real-world situations
* Comprehensive bibliography that leads to in-depth discussion of specialized topics
* Problem sets at the end of each chapter that test readers' knowledge

This is a superior textbook for software engineering, computer science, information systems, and electrical engineering students, and a dependable reference for software and computer professionals and engineers.

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Computers and software systems are becoming ubiquitous in modern society. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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5.0 out of 5 stars (1 customer review)
 
 
 
 
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5.0 out of 5 stars One stop shop for Software Quality !, Aug 1 2010
By 
Daniel Doiron - See all my reviews
(REAL NAME)   
This review is from: Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement (Hardcover)
Brainy? Definitely! But if you want to know where formal validation and verification methods are heading, this is a must read. Data Warehouse testers can adapt axiomatic inferences, state transitions and statistically significant operational profiles to their overall QA strategy.
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Amazon.com: 2.0 out of 5 stars (3 customer reviews)

4 of 5 people found the following review helpful
1.0 out of 5 stars Too much blah, blah, blah. Not enough specifics. Boring. Redundant., Jan 8 2009
By Arthur A. REYES "Ph.D. ICS UCI 1999" - Published on Amazon.com
This review is from: Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement (Hardcover)
I made the mistake of assigning this book for CSE 5321 Software Testing (a graduate course) at the University of Texas at Arlington during the fall of 2008. I abandoned it 2/3 of the way into the semester. I replaced it with "Introduction to Software Testing" by Ammann & Offutt.

The title of my review pretty much says it all.

1.0 out of 5 stars Ninety Percent Useless - I Don't Recommend It, Mar 25 2011
By Jonathan Lay - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement (Hardcover)
This is not a useless book, just nearly so. This was the textbook for a graduate class I just completed in software quality engineering. As I started reading the book, I was eager to learn about the topic and absorb what good insights and information the author had to share. In the first half of the book the author blathered on, saying nothing particularly interesting, useful or memorable. I got the impression as I read it that he was attempting to make a gentle introduction. What he achieved instead was to take what might have been a good supper, ground it up into bland and tedious mash, and fed it to you in a meal that you that you wished would just come to an end. It wasn't until I reached page 204 that I found something worth marking with a highlighter. I thought to myself that I had gotten through the tedium, the last half of the book would be better, and that I didn't need to leave the book unmarked for resale. That feeling came to an end 40 pages later, when the author returned to dull tedium. So the book wasn't all bad. Chapters 12 through 14 were interesting and well written. The remaining 90% of the book was not.

2 of 4 people found the following review helpful
4.0 out of 5 stars Jeff Tian: SQE, Oct 27 2007
By Giftcard "Loda_Schitt" - Published on Amazon.com
This review is from: Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement (Hardcover)
Takes a while to get used to the book. Not the easiest to understand
Lots of good information and concepts. Strongly recommended if you are willing to do the brain work
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