Predictably Dependable Computing Systems

I. Basic Concepts.- A. Dependability - Its Attributes, Impairments and Means.- References for Chapter 1.- II. Fault Prevention.- A. Analysis of Safety Requirements for Process Control Systems.- B. Real-Time System Scheduling.- C. The Time-Triggered Approach to Real-Time System Design.- D. Software Measurement: A Necessary Scientific Basis.- References for Chapter II.- III. Fault Tolerance.- A. From Recovery Blocks to Concurrent Atomic Actions.- B. Definition and Analysis of Hardware-and-Software Fault-Tolerant Architectures.- C. Failure Mode Assumptions and Assumption Coverage.- D. Rational Design of Multiple-Redundant Systems: Adjudication and Fault Treatment.- E. Dynamic Adjustment of Dependability and Efficiency in Fault-Tolerant Software.- F. Designing Secure and Reliable Applications using FragmentationRedundancy-Scattering: an Object Oriented Approach.- G. Implementing Fault Tolerant Applications Using Reflective Object-Oriented Programming.- H. The PDCS Implementation of MARS Hardware and Software.- References for Chapter III.- IV. Fault Removal.- A. Advantages and Limits of Formal Approaches for Ultra-High Dependability.- B. Software Statistical Testing.- C. An Experimental Evaluation of Formal Testing and Statistical Testing.- D. Testing Distributed Real-Time Systems: An Overview.- References for Chapter IV.- V. Fault Forecasting - Fault Injection.- A. Integration and Comparison of Three Physical Fault Injection Techniques.- B. Fault Injection into VHDL Models: The MEFISTO Tool.- C. Estimators for Fault Tolerance Coverage Evaluation.- References for Chapter V.- VI. Fault Forecasting - Software Reliability.- A. Software Reliability Trend Analyses: From Theoretical to Practical Considerations.- B. The Transformation Approach to the Modeling and Evaluationof Reliability and Availability Growth.- C. New Ways to Get Accurate Reliability Measures.- D. Combination of Predictions Obtained from Different Software Reliability Growth Models.- E. Dependability