Tian, Jeff,
Software quality engineering : testing, quality assurance, and quantifiable improvement / Jeff Tian. - 1 PDF (xxvi, 412 pages) : illustrations.
"IEEE ; IEEE Computer Society."
Includes bibliographical references (p. 389-402) and index.
What is software quality? -- Quality assurance -- Quality assurance in context -- Quality engineering -- Testing : concepts, issues, and techniques -- Test activities, management, and automation -- Coverage and usage testing based on checklists and partitions -- Input domain partitioning and boundary testing -- Coverage and usage testing based on finite-state machines and Markov chains -- Control flow, data dependency, and interaction testing -- Testing techniques : adaptation, specialization, and integration -- Defect prevention and process improvement -- Software inspection -- Formal verification -- Fault tolerance and failure containment -- Comparing quality assurance techniques and activities -- Feedback loop and activities for quantifiable quality improvement -- Quality models and measurements -- Defect classification and analysis -- Risk identification for quantifiable quality improvement -- Software reliability engineering.
Restricted to subscribers or individual electronic text purchasers.
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 part of 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' knowledgeThis 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.
Mode of access: World Wide Web
9780471722328
10.1002/0471722324 doi
Computer software--Quality control.
Computer software--Testing.
Electronic books.
QA76.76.Q35 / T53 2005eb
005
Software quality engineering : testing, quality assurance, and quantifiable improvement / Jeff Tian. - 1 PDF (xxvi, 412 pages) : illustrations.
"IEEE ; IEEE Computer Society."
Includes bibliographical references (p. 389-402) and index.
What is software quality? -- Quality assurance -- Quality assurance in context -- Quality engineering -- Testing : concepts, issues, and techniques -- Test activities, management, and automation -- Coverage and usage testing based on checklists and partitions -- Input domain partitioning and boundary testing -- Coverage and usage testing based on finite-state machines and Markov chains -- Control flow, data dependency, and interaction testing -- Testing techniques : adaptation, specialization, and integration -- Defect prevention and process improvement -- Software inspection -- Formal verification -- Fault tolerance and failure containment -- Comparing quality assurance techniques and activities -- Feedback loop and activities for quantifiable quality improvement -- Quality models and measurements -- Defect classification and analysis -- Risk identification for quantifiable quality improvement -- Software reliability engineering.
Restricted to subscribers or individual electronic text purchasers.
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 part of 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' knowledgeThis 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.
Mode of access: World Wide Web
9780471722328
10.1002/0471722324 doi
Computer software--Quality control.
Computer software--Testing.
Electronic books.
QA76.76.Q35 / T53 2005eb
005