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Our society has become increasingly reliant on software in the past decade; businesses have learned that measuring the effectiveness of software projects can impact the bottom line; and quality is no longer an advantage in the software marketplace (it is a necessity). For these reasons, the demand for quality in software engineering has taken center stage in the twenty-first century. In this new edition, Stephen Kan presents a thoroughly updated overview and implementation guide for software engineers faced with the challenge of ensuring quality. The book balances theory, techniques, and real-life examples to provide practical guidelines in the practice of quality. Although there are equations and formulas presented, the book's focus remains on helping the reader understand and apply the metrics and models. With this book as a map, readers can navigate through the complex field of quality, and benefit their organization by improving their processes and products.
How can software engineering organizations effectively measure and improve the quality of their products to remain competitive in a software-reliant marketplace? Stephen H. Kan, an experienced practitioner in the field, provides a comprehensive framework for integrating metrics and statistical models into the software development lifecycle. By balancing theoretical foundations with practical implementation strategies, the author demonstrates how data-driven decision-making can optimize both development processes and final product reliability.
What You Will Find
Experts and practitioners frequently cite this text as a foundational resource for understanding the intersection of statistical modeling and software quality management. Readers often note the balance between technical rigor and practical application, making it a standard reference for engineers and project managers alike.
Page Count:
512
Publication Date:
2002-01-01
Publisher:
Addison-Wesley Professional
ISBN-10:
0201729156
ISBN-13:
9780201729153
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