Software Testing: Techniques, Principles, and Practices
Language: English
Published by Independently published, 2019
- Softcover
- New

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- Title
- Software Testing: Techniques, Principles, and Practices
- Author
- Shen, JJ
- Publisher
- Independently published
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1693054906
- ISBN 13
- 9781693054907
A groundbreaking, example-driven, and practical-oriented approach to software testing techniques and principles.
This book offers a unique way to learn software application testing, making it appropriate for students in computer science and related fields, software quality engineers, and developers alike. Unlike purely theoretical texts, this volume is packed with abundant examples, real-life case studies, and step-by-step solutions to exercises, ensuring readers not only understand the principles but can also apply them effectively in practice.
Inside, you’ll find:
The solutions to the exercise problems and other bonus materials can be found at: https://github.com/jj-shen99/Software-Testing-Book
Who this book is for:
Take the guesswork out of testing. With this book, you’ll gain not only the knowledge but also the hands-on experience to excel in the critical field of software quality assurance.
This book offers a unique way to learn software application testing, making it appropriate for students in computer science and related fields, software quality engineers, and developers alike. Unlike purely theoretical texts, this volume is packed with abundant examples, real-life case studies, and step-by-step solutions to exercises, ensuring readers not only understand the principles but can also apply them effectively in practice.
Inside, you’ll find:
- A formal foundation — software test cases are defined in a clear, original way, with test types explained in a framework not published anywhere else.
- Core techniques, deeply explored — equivalence partitioning, boundary value analysis, combinatorial testing, decision table testing, and structural techniques are presented with systematic examples.
- Strategies and principles — crucial testing strategies, principles, and practices are discussed with practical relevance, bridging classroom theory and industry application.
- Regression and performance testing — explained in detail, including three real-life case studies and a framework for prioritization and scalability.
- Progressive learning flow — concepts start simply and advance gradually to more complex principles, helping readers build solid, intuitive understanding.
- Abundant exercises with solutions — most chapters conclude with practical problems, and this edition includes detailed worked-out answers, making it ideal as both a self-study guide and a classroom textbook.
The solutions to the exercise problems and other bonus materials can be found at: https://github.com/jj-shen99/Software-Testing-Book
Who this book is for:
- Software quality engineers who want a strong foundation and practical techniques.
- Software developers and IT professionals aiming to improve testing and quality practices.
- Students and educators in software testing and computer science courses.
Take the guesswork out of testing. With this book, you’ll gain not only the knowledge but also the hands-on experience to excel in the critical field of software quality assurance.
"Synopsis" may belong to another edition of this title.
About the Author
The author has over twenty years of experience with various software companies in Silicon Valley, from startups to well-known established ones. In particular, the author has extensive experience in building test automation frameworks and in leading quality engineering projects for both consumer and enterprise software applications. The author also has several years of software development experience early in his career in the software industry.
The author holds an MS degree in Computer Sciences from the University of Illinois at Urbana-Champaign, an MS degree in Astronomy (a byproduct of an unfinished PhD program) from the University of Illinois at Urbana-Champaign, an MS degree in Astrophysics from the Chinese Academy of Sciences, and a BS degree in Physics from Hebei University.
The author holds an MS degree in Computer Sciences from the University of Illinois at Urbana-Champaign, an MS degree in Astronomy (a byproduct of an unfinished PhD program) from the University of Illinois at Urbana-Champaign, an MS degree in Astrophysics from the Chinese Academy of Sciences, and a BS degree in Physics from Hebei University.
"About the title" may belong to another edition of this title.
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