Metrics and Models in Software Quality Engineering

Metrics and Models in Software Quality Engineering
Author: Stephen H. Kan
Publisher: Addison-Wesley Professional
Total Pages: 564
Release: 2003
Genre: Computers
ISBN: 9780201729153

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""This is the single best book on software quality engineering and metrics that I've encountered."" --Capers Jones, from the Foreword"Metrics and Models in Software Quality Engineering, Second Edition," is the definitive book on this essential topic of software development. Comprehensive in scope with extensive industry examples, it shows how to measure software quality and use measurements to improve the software development process. Four major categories of quality metrics and models are addressed: quality management, software reliability and projection, complexity, and customer view. In addition, the book discusses the fundamentals of measurement theory, specific quality metrics and tools, and methods for applying metrics to the software development process.New chapters bring coverage of critical topics, including: In-process metrics for software testingMetrics for object-oriented software developmentAvailability metricsMethods for conducting in-process quality assessments and software project assessmentsDos and Don'ts of Software Process Improvement, by Patrick O'TooleUsing Function Point Metrics to Measure Software Process Improvement, by Capers Jones In addition to the excellent balance of theory, techniques, and examples, this book is highly instructive and practical, covering one of the most important topics in software development--quality engineering. 0201729156B08282002


Metrics and Models in Software Quality Engineering
Language: en
Pages: 564
Authors: Stephen H. Kan
Categories: Computers
Type: BOOK - Published: 2003 - Publisher: Addison-Wesley Professional

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Poor quality continues to bedevil large-scale development projects, but few software leaders and practitioners know how to measure quality, select quality best
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The role of metrics and models in software development; Software metrics; Measurement and analysis; Small scale experiments, micro-models of effort, and program
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Authors: Norman E. Fenton
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