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Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement



eBook Information



Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement

ISBN  0471713457
Release Date  21 February 2005
Category  Software Engineering
Tags  quality,  
testing,  
quality assurance,  
test,  
assurance,  
software testing,  
"quality assurance",  
"software quality",  
ian sommerville,  
software quality assurance,  
software engineering,  
software quality,  
engineering,  
software testing and quality assurance,  
improvement,  
"software quality engineering",  
0471713457,  
software quality engineering: testing, quality assurance, and quantifiable improvement,  
unit testing,  
quality assurence in sofware,  
load testing,  
qualtiy assurance,  
software testing techniques,  
evaluating software architectures,  
morgan kaufmann - unit testing in java-how tests drive the code.chm,  
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Description

The one resource needed to create reliable software This text offers a comprehensive and integrated approach to software quality engineering. By following the author's clear guidance, readers learn how to master the techniques to produce high-quality, reliable software, regardless of the software system's level of complexity. The first part of the publication introduces major topics in software quality engineering and presents quality planning as an integral partof the process. Providing readers with a solid foundation in key concepts and practices, the book moves on to offer in-depth coverage of software testing as a primary means to ensure software quality; alternatives for quality assurance, including defect prevention, process improvement, inspection, formal verification, fault tolerance, safety assurance, and damage control; and measurement and analysis to close the feedback loop for quality assessment and quantifiable improvement.

The text's approach and style evolved from the author's hands-on experience in the classroom. All the pedagogical tools needed to facilitate quick learning are provided:

  • Figures and tables that clarify concepts and provide quick topic summaries
  • Examples that illustrate how theory is applied in real-world situations
  • Comprehensive bibliography that leads to in-depth discussion of specialized topics
  • Problem sets at the end of each chapter that test readers' knowledge


This is a superior textbook for software engineering, computer science, information systems, and electrical engineering students, and a dependable reference for software and computer professionals and engineers.










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