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cs.SE2026
TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided Diffusion Models
Yuvraj Sehgal, Sneh Patel, Mahsa Panahandeh +2
Machine learning models for system diagnostics rely on kernel execution traces to capture fine-grained system behavior, but collecting production traces in industrial systems is co…
cs.SE2026
TAAF: A Trace Abstraction and Analysis Framework Synergizing Knowledge Graphs and LLMs
Alireza Ezaz, Ghazal Khodabandeh, Majid Babaei +1
Execution traces are a critical source of information for understanding, debugging, and optimizing complex software systems. However, traces from OS kernels or large-scale applicat…