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Introduction to Software Testing, by Paul Ammann, Jeff Offutt
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Extensively class tested, this text takes an innovative approach to explaining the process of software testing: it defines testing as the process of applying a few well-defined, general-purpose test criteria to a structure or model of the software. The structure of the text directly reflects the pedagogical approach and incorporates the latest innovations in testing, including techniques to test modern types of software such as OO, web applications, and embedded software.
- Sales Rank: #173799 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2008-01-28
- Original language: English
- Number of items: 1
- Dimensions: 9.96" h x .83" w x 6.97" l, 1.65 pounds
- Binding: Hardcover
- 346 pages
- Used Book in Good Condition
Review
"I think this is a great testing book, both from academic and industrial perspectives. I believe Ammann and Offutt's book will become the testing textbook of choice. There are a lot of testing books out there, some better than others. Most are narrow in the topics they cover and the level of detail they present. In stark contrast, Ammann and Offutt's book has the advantage of presenting concepts and techniques that cover the broad range of languages and platforms used in practice by industry and academia. Theirs is one of the most thorough and practical testing books ever published."
Roger Alexander, Washington State University
"... well written, logically organized, and provides excellent examples as well as useful course materials (such as homework assignments and quizzes) ... greatly facilitates the teaching and learning process. I plan to offer the course again and use the Ammann and Offutt text ... students also complimented the book in their student evaluations (a very rare occurrence) ... provides an excellent high level as well as detailed presentation of topics that are often difficult for students to master, such as: control flow graph coverage, data flow graph coverage (including all-defs, all-uses, all-du-paths criteria), graph coverage for use cases, logic coverage (predicate coverage, clause coverage), syntax-based testing, etc. In particular, the logic coverage chapter took very complex concepts and made them understandable for the students. Also, the examples that appear in the book are very useful and are highly representative of what our students run into after they graduate and land jobs as developers and/or testers."
Jane Hayes, University of Kentucky
"I read it, used the material in it, and found it very useful, insightful, and precise. Now that it is a "real" book, I hope to use it as a textbook in the future."
Lionel Briand, Simula Research Laboratory, Oslo, Norway
"This is a great book for learning software testing. The clear terminology definitions and comprehensive examples provide an easy way to master the software testing techniques. After reading this book I get the image: instead of experimental techniques, which you can only get through experience, the term software testing means a set of general scientific methods and criteria that can be applied to individual cases. I think, for people who work in or prepare to enter the software testing field, this book is definitely what you need in your hand."
Ling Liu, ETH Zurich
"Where has this book been all these years? [The] book reminds me why I wanted to study software testing in graduate school: testing touches on all the interesting theoretical/engineering models/representations for software."
Arthur Reyes, University of Texas, Arlington
"These two leading researchers provide an excellent exposition of the recent advancement of software testing in a manner that is suitable for classroom use. Theoretical concepts are covered rigorously and in practical contexts allowing students to build a solid foundation while being well-connected to the real applications. The abundant examples and exercises make both teaching and learning a more tangible task. In addition to classroom use, the balanced coverage of theory and application also makes the book a valuable addition to the practitioner's bookshelf."
Jeff Lei, University of Texas, Arlington
"This software testing textbook creatively uses only four models to capture current software testing techniques helping students, researchers, and practitioners to deeply grasp these techniques from an abstract, systematic perspective. The textbook provides excellent balance between theory and practice!"
Tao Xie, North Carolina State University
"The authors logically break down the discussion into four key coverage criteria: graph-based, logic=based, syntax-based, and partition-based testing. They provide a solid theoretical presentation of software testing and test coverage criteria ... A concise but brief introduction to software testing."
R. S. Stansbury, Choice
About the Author
Paul Ammann, Ph.D., is an Associate Professor of Software Engineering at George Mason University. He received an outstanding teaching award in 2007 from the Volgenau School of Information Technology and Engineering. Dr Ammann earned an AB degree in Computer Science from Dartmouth College, and M.S. and Ph.D. degrees in computer science from the University of Virginia.
Jeff Offutt, Ph.D., is a Professor of Software Engineering at George Mason University. He is editor-in-chief of the Journal of Software Testing, Verification and Reliability; chair of the steering committee for the IEEE International Conference on Software Testing, Verification, and Validation; and is on the editorial boards for several journals. He received the outstanding teacher award from the Volgenau School of Information Technology and Engineering in 2003. Dr Offutt earned a B.S. degree in Mathematics and Data Processing from Morehead State University, and M.S. and Ph.D. degrees in computer science from the Georgia Institute of Technology.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Five Stars
By Hani Attar
Excellent product..
4 of 4 people found the following review helpful.
This is a good introduction to testing for graduate CS students or senior undergrads
By Cem Kaner, J.D, Ph.D.
I've taught from this book. I used it as a textbook in Florida Tech's software testing 2 course, which is focused on teaching programmers how to test their own code and how to design and write (including test) test tools. Students in that course have taken a course in black box testing already. That is, they understand a lot about testing a software system from an external point of view. The goal in this course is to help them understand how to test code well when they know the code.
I agree with the comment that this book doesn't try to train readers/students how to do unit tests. We use a different book to teach students the mechanics of unit testing. Those books teach a lot about the toolset, a lot about "best practices" for organizing tests, creating mock objects, etc. Students learn a lot about "how" but none of those books give students much insight about "what".
Ammann & Offutt help me teach students to think about what questions they want their tests to answer. Once students know what information they're looking for, the mechanics are very important, but without knowing what they're looking for, the mechanics are irrelevant.
My main criticism of the book is that it is rough sledding for several of our students. Some of the material in this book is beyond what I expect a 4th year undergraduate to learn in our course, or at least, explained in a way that is beyond them. Then again, you can make the same criticism of almost any advanced technical book.
I have a fair bit of non-academic experience in the field and, now as a professor, I work extensively with practitioners. People do things differently at different companies. The approach to testing that I primarily advocate and teach (system-level, context-driven testing) is seen as highly practical at some companies, as too sloppy at some, and as too academically pure at others. Similarly, intense unit-test-focused testing (e.g. TDD) is popular at some companies and barely attempted at others (barely done even in companies where the programmers call themselves "agile" and say they do Scrum). So it is not surprising to see some people say that what Ammann & Offutt are teaching is, in the experience of those people, impractical and unlike what they see in the real world. But the real world is a big place, and in many parts of it, this book rocks.
0 of 0 people found the following review helpful.
Raise your test thinking to the next level
By Eric "Siggy" Scott
The take home: Line and branch coverage are sucky measures of test quality, and one can benefit by thinking beyond them.
This book is a thorough and understandable introduction to the theory of how to design good tests for software.
It does not introduce you to JUnit, mocking, theories or other well-known implementation details, nor agile, TDD or other practical philosophies de jure. Those are meant to be covered by a supplementary text -- Lord knows plenty are available.
Instead, this book summarizes the research community's solid, language-independent answers to questions such as "how many tests do I need to write?", "what test inputs do I choose?", and "how can I measure the quality of a test suite?"
Line and branch coverage metrics are used widely in industry, familiar to most JUnit programmers. Ammann and Offut show how these are just the rudimentary beginnings of a vast, well-studied family of measures of test quality. They also argue that the same measures and design strategies apply to integration testing, system testing, and unit testing. This leads to an apparently odd organization of the book that changes your world view when you realize its brilliance.
The thesis is that metrics of this sort give managers control over setting testing goals -- such as when to stop testing. Instead of the traditional "write tests until it feels right," or "test until the budget runs out," with good coverage metrics you can set a target that balances testing effort with the risk posed by bugs. Developers of flight control systems, for instance, are required by FAA policy to use certain logic-based coverage criteria that a team writing a Wiki framework would probably forego.
The book is organized in a pedagogical way, easy to understand but occasionally loosing the forest for the trees. Examples are in Java, but the focus is on models of software represented as graphs, logic expressions, etc. Specific technologies are rarely mentioned, because the authors wanted to book to have shelf value. The book will still be relevant a decade from now.
It is not true, as some reviewers claim, that this book has no real-world significance. The book is actually very light on theory, introducing only what is necessary to understand how to test software well.
Readers who are already practiced in unit testing and who are ready to take their understanding to the next level will be opened up to a wealth of new practices and development tools.
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