Handbook of Software Reliability Engineering

Handbook of Software Reliability Engineering

1996 | Michael R. Lyu
The *Handbook of Software Reliability Engineering* is a comprehensive resource edited by Michael R. Lyu, covering various aspects of software reliability engineering. The book is structured into three main parts: Technical Foundations, Practices and Experiences, and Emerging Techniques. It includes contributions from leading experts in the field, providing a detailed exploration of software reliability models, measurement techniques, fault analysis, and reliability prediction methods. The book emphasizes the practical application of these theories through real-world examples and case studies, making it a valuable resource for both practitioners and researchers. Key topics include software reliability modeling, operational profiles, best practices, measurement-based analysis, orthogonal defect classification, trend analysis, field data analysis, software metrics, fault-tolerant systems, fault trees, reliability simulation, and neural networks. The handbook also features a CD-ROM with software project failure data sets and reliability tools, enhancing its utility for both educational and practical purposes.The *Handbook of Software Reliability Engineering* is a comprehensive resource edited by Michael R. Lyu, covering various aspects of software reliability engineering. The book is structured into three main parts: Technical Foundations, Practices and Experiences, and Emerging Techniques. It includes contributions from leading experts in the field, providing a detailed exploration of software reliability models, measurement techniques, fault analysis, and reliability prediction methods. The book emphasizes the practical application of these theories through real-world examples and case studies, making it a valuable resource for both practitioners and researchers. Key topics include software reliability modeling, operational profiles, best practices, measurement-based analysis, orthogonal defect classification, trend analysis, field data analysis, software metrics, fault-tolerant systems, fault trees, reliability simulation, and neural networks. The handbook also features a CD-ROM with software project failure data sets and reliability tools, enhancing its utility for both educational and practical purposes.
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