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This excellent balance of theory, techniques, and examples makes for a highly-instructive and practical book on one of the most important topics in software development.
"I've devoted considerable space to Kan's Metrics and Models in Software Quality Engineering because I believe it is an important book that bridges the worlds of industrial statistical process control and software engineering. The AS/400 software is a large, complex and very successful product for IBM. Kan provides insights into the methods IBM used to control the quality in this project which provide lessons that we would all do well to study." -Software Development
"The concise and clear explanation of function point counting is a jewel. Metrics and Models in Software Quality Engineering If you are looking for just one book on metrics, this is a good choice." -The Northwest C++ Users Group newsletter
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.
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