Trustworthy Computing: Analytical and Quantitative Engineering Evaluation (Repost)

Professor Emeritus, Electrical Engineering and Computer Science, University of California-Berkeley, and Senior Research Fellow, ICC Institute, The University of Texas-Austin, IEEE Life Fellow

Trustworthy Computing: Analytical and Quantitative Engineering Evaluation

presents an index-based, quantitative approach to advances in reliability and security engineering. Objective, metric-oriented, and data-driven, its goal is to establish metrics to quantify risk and mitigate risk through risk management. Based on the author's class-tested curriculum, it covers:

Fundamentals of component and system reliability and a review of software reliability

Software reliability modeling using effort-based and clustered failure data and stochastic comparative measures

Quantitative modeling for security and privacy risk assessment

Cost-effective stopping rules in software reliability testing

Availability modeling using Sahinoglu-Libby (S-L) Probability Distribution

Reliability block diagramming for Simple and Complex Embedded Systems