Traditional ML models on bug report text outperform fine-tuned transformers for fault localization in industrial software using five years of ABB Robotics data.
Eric Wong, Vidroha Debroy, and Dianxiang Xu
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A Hidden Markov Model on STFT-derived spectral features from welding current signals identifies three temporally coherent arc regimes: transient, stable, and extinction.
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Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics
Traditional ML models on bug report text outperform fine-tuned transformers for fault localization in industrial software using five years of ABB Robotics data.
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A Hidden Markov Framework for Physically Interpretable Arc Stability Dynamics in Welding Systems
A Hidden Markov Model on STFT-derived spectral features from welding current signals identifies three temporally coherent arc regimes: transient, stable, and extinction.