—— 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.

About the Author

Mehmet Sahinoglu, PhD, is Chair-Professor of the Computer Science Department at Troy University in Montgomery, Alabama. After teaching twenty years at his alma mater (BSEE) Middle East Technical University in Ankara, Turkey, he served as the founding dean and department chair in the College of Arts and Sciences at Dokuz Eylül University in Izmir, Turkey. More recently, Dr. Sahinoglu taught at Purdue University, Indiana, and Case Western Reserve University, Ohio, before joining Troy University as the university's first Eminent Scholar in Computer Science.