A superior primer on software testing and quality assurance, from integration to execution and automation This important new work fills the pressing need for a user-friendly text that aims to provide software engineers, software quality professionals, software developers, and students with the fundamental developments in testing theory and common testing practices.
Software Testing and Quality Assurance: Theory and Practice equips readers with a solid understanding of:
- Practices that support the production of quality software
- Software testing techniques
- Life-cycle models for requirements, defects, test cases, and test results
- Process models for units, integration, system, and acceptance testing
- How to build test teams, including recruiting and retaining test engineers
- Quality Models, Capability Maturity Model, Testing Maturity Model, and Test Process Improvement Model
Expertly balancing theory with practice, and complemented with an abundance of pedagogical tools, including test questions, examples, teaching suggestions, and chapter summaries, this book is a valuable, self-contained tool for professionals and an ideal introductory text for courses in software testing, quality assurance, and software engineering.
"The text is user friendly, very clear, and supported by appropriate tables and process figures, combined with examples and process execution steps. There are useful detailed explanations inside text boxes and table, with nicely designed and explained figures, as well as generated software code samples...This is a very advanced book that I highly recommend to all software testing and QA practioners." (
Computing Reviews, November 5, 2008)
This book provides a comprehensive review of topics dealing with software testing and quality assurance. The writing style is plain but efficient, while the content covers theoretical (to some extent) and practical concepts in this field. Naik (Univ. of Waterloo, Ontario, Canada) and Tripathy (NEC Laboratories America Inc.) seem to have limited exposure to current research in software testing, but they adequately cover the fundamentals. The literature review sections are useful for researchers who wish to expand their knowledge on a specific topic, with references well placed at the end of individual chapters. The rather basic exercises are not really helpful for instructors. The work would benefit by a few more supportive examples, although the ones present are well designed to illustrate the theory, where available. Software testing may be considered a relatively specialized computer science topic, existing in the few departments where a software–testing expert resides or in academic institutions offering a software engineering degree. However, it is nevertheless an important subject, with extended applications in industry, the concepts of which are covered adequately here. This volume would be useful for instructional purposes at the undergraduate level and for professionals seeking references to more specialized information. Summing Up: Recommended. Upper–division undergraduates, faculty, researchers, and practitioners. D. Papamichail, University of Miami (Choice, 2009)
