Articles liés à Metrics and Models in Software Quality Engineering
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Synopsis
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.
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À propos de l?auteur
Stephen H. Kan is Senior Technical Staff Member (STSM) and a technical manager in programming for IBM in Rochester, Minnesota. As process manager of the quality management process in product development for IBM's eServer iSeries software development, his responsibilities include quality goal setting, supplier quality requirements, quality plans, in-process metrics, field quality status, and quality and project assessments. Dr. Kan has been a faculty member of the Master of Science in Software Engineering program at the University of Minnesota since 1998. He is certified by the American Society for Quality as a Quality Engineer, a Reliability Engineer, and a Quality Manager, and by the Project Management Institute as a Project Management Professional. 0201729156AB08212002
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