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Found 4 papers, 2 papers with code
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components
Machine learning plays an important role in the operation of current wind energy production systems.
Identifying non-natural language artifacts in bug reports
Our model scores at 0. 95 ROC-AUC and 0. 93 F1 against our manually annotated validation set, and classifies 10k lines in 0. 72 seconds.
A Fault Localization and Debugging Support Framework driven by Bug Tracking Data
Fault localization has been determined as a major resource factor in the software development life cycle.
Root cause prediction based on bug reports
Our data set for the machine learning approach consists of 369 bug reports (122 concurrency, 121 memory, and 126 semantic bugs).
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