Specification patterns for probabilistic quality properties
Proceedings of the 30th international conference on Software engineering
Monitoring probabilistic properties
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Codesign of dependable systems: a component-based modeling language
MEMOCODE'09 Proceedings of the 7th IEEE/ACM international conference on Formal Methods and Models for Codesign
Journal of Systems and Software
A classification and comparison of model checking software architecture techniques
Journal of Systems and Software
Generalizable safety annotations for specification of failure patterns
Software—Practice & Experience
Proceedings of the 2010 ICSE Workshop on Quantitative Stochastic Models in the Verification and Design of Software Systems
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Evolving a safe system design iteratively
SAFECOMP'10 Proceedings of the 29th international conference on Computer safety, reliability, and security
Systematic model-based safety assessment via probabilistic model checking
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
Model-based multi-objective safety optimization
SAFECOMP'11 Proceedings of the 30th international conference on Computer safety, reliability, and security
Quantitative verification of system safety in event-B
SERENE'11 Proceedings of the Third international conference on Software engineering for resilient systems
Reliability analysis in component-based development via probabilistic model checking
Proceedings of the 15th ACM SIGSOFT symposium on Component Based Software Engineering
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Failure Mode and Effect Analysis (FMEA) is a method for assessing cause-consequence relations between component faults and hazards that may occur during the lifetime of a system. The analysis is typically time intensive and informal, and for this reason FMEA has been extended with traditional model checking support. Such support does not take into account the probabilities associated with a component fault occurring, yet such information is crucial to developing hazard reduction strategies for a system. In this paper we propose a method for FMEA which makes use of probabilistic fault injection and probabilistic model checking. Based on this approach safety engineers are able to formally identify if a failure mode occurs with a probability higher than its tolerable hazard rate.