SCALER stitches per-component finite-state models inferred from logs into a system model using timestamp-based dependencies, scaling to larger logs than existing tools.
A framework for the competitive evaluation of model inference tech- niques,
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Scalable Inference of System-level Models from Component Logs
SCALER stitches per-component finite-state models inferred from logs into a system model using timestamp-based dependencies, scaling to larger logs than existing tools.