Dependability of COTS Microkernel-Based Systems
IEEE Transactions on Computers - Special issue on fault-tolerant embedded systems
Failure Mode Analysis of CORBA Service Implementations
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Automatic Detection and Masking of Nonatomic Exception Handling
IEEE Transactions on Software Engineering
Improving the reliability of commodity operating systems
ACM Transactions on Computer Systems (TOCS)
Information Assurance: Dependability and Security in Networked Systems
Information Assurance: Dependability and Security in Networked Systems
Security Assessment Framework Using Static Analysis and Fault Injection
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Security assessment for application network services using fault injection
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
Using stratified sampling for fault injection
LADC'05 Proceedings of the Second Latin-American conference on Dependable Computing
LADC'05 Proceedings of the Second Latin-American conference on Dependable Computing
Fault injection approach based on architectural dependencies
Architecting Dependable Systems III
Hi-index | 0.00 |
MAFALDA (Microkernel Assessment by Fault injection Analysis and Design Aid) is a generic tool providing quantitative information on COTS microkernels to support their integration into dependable systems. The main originality of MAFALDA relies on the features provided for both the analysis of the failure modes of the target microkernel and the design of error confinement wrappers. The paper illustrates: (i) how MAFALDA is organized and its user interface, and (ii) how it can be used to carry out fault injection campaigns. Finally, we present the experimental context of campaigns carried out on two commercial microkernels and draw the main lessons learnt.