Graph-Based Algorithms for Boolean Function Manipulation
IEEE Transactions on Computers
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Real-time object-oriented modeling
Real-time object-oriented modeling
Component software: beyond object-oriented programming
Component software: beyond object-oriented programming
Towards integrated safety analysis and design
ACM SIGAPP Applied Computing Review - Special issue on saftey-critical software
Dependability: Basic Concepts and Terminology
Dependability: Basic Concepts and Terminology
Computer
Hierarchically Performed Hazard Origin and Propagation Studies
SAFECOMP '99 Proceedings of the 18th International Conference on Computer Computer Safety, Reliability and Security
Reliability prediction for component-based software architectures
Journal of Systems and Software - Special issue on: Software architecture - Engineering quality attributes
A new component concept for fault trees
SCS '03 Proceedings of the 8th Australian workshop on Safety critical systems and software - Volume 33
QSIC '05 Proceedings of the Fifth International Conference on Quality Software
Early quality prediction of component-based systems - A generic framework
Journal of Systems and Software
Journal of Systems and Software
Package coupling measurement in object-oriented software
Journal of Computer Science and Technology
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The increasing application of COTS-components and component-based software engineering has entailed the development of appropriate component specifications. In the embedded systems domain it would be desirable to benefit from these component specifications to integrate and automate safety and reliability analysis. For this reason, we propose in this paper a component-based dependability analysis technique that annotates components with failure mode assumptions. The probabilities and dependencies of these failure modes are specified by Component Fault Trees (CFT's). Based on these CFT's and the architectural model the propagation of failures throughout the system can be automatically determined and a quantitative analysis is possible.