The paper introduces a verification-orchestration algorithm and process mining on ARH hypertraces to enable scalable security analysis of automotive network protocols and attribute violations to specific component compromises.
PM4Py: A process mining library for Python.Softw
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A recursive algorithm transforms workflow nets into POWL 2.0 models with formal proofs of language preservation and completeness for separable nets, succeeding on 1,493 benchmark models.
PM4Py-UCM extends process mining to output hierarchical UCM models with configurable visualizations and round-trip export to jUCMNav using public and synthetic event logs.
Low dropout risk CS1 students exhibited three distinct weekly learning strategies while high-risk students showed nine varied patterns, some temporary and recoverable and others signaling imminent dropout.
citing papers explorer
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Understanding Self-Regulated Learning Behavior Among High and Low Dropout Risk Students During CS1: Combining Trace Logs, Dropout Prediction and Self-Reports
Low dropout risk CS1 students exhibited three distinct weekly learning strategies while high-risk students showed nine varied patterns, some temporary and recoverable and others signaling imminent dropout.