Towards autonomic web services: achieving self-healing using web services
DEAS '05 Proceedings of the 2005 workshop on Design and evolution of autonomic application software
Selecting highly optimal architectural feature sets with Filtered Cartesian Flattening
Journal of Systems and Software
Automated diagnosis of feature model configurations
Journal of Systems and Software
A clustering model based on matrix approximation with applications to cluster system log files
ECML'05 Proceedings of the 16th European conference on Machine Learning
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This paper presents the architecture and implementation of a prototype system developed to investigate fixing real-world problems with self-healing systems. Case studies performed to evaluate the efficacy of this approach are described along with the issues encountered and lessons learned.