Introduction of Lateral Thinking to Civil and Environmental Engineering Education
International Journal of Innovative Technology and Creative Engineering
The role of process analytical technology (pat) in green chemistry and green engineering webinar
The Chinese R&D Landscape – Pharmaceuticals and Chemical Engineering
Nanotechnology Cavitational Effects in the Heat-and-Power Engineering and Other Branches of Production
Agricultural and Biological Engineering
ERP Software Testing and Its Quality Evaluation System
Turing: Computing Machinery and Intelligence
"Focused and Ongoing Practice Evaluation Support for Medical Peer Review "
solution manual and testbank Engineering economy, 15/e william g. Sullivan,
—— C. V. Ramamoorthy
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
Complete with a CD-ROM containing case histories and projects that give readers hands-on experience, this is a great text for students in courses on security, reliability, and trustworthiness, as well as a reference for practicing software designers and developers, computer reliability and security specialists, and network administrators who work with data.
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