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.