Bias evaluation benchmarks and dataset and model documentation have emer...
In many domains, there are many examples and far fewer labels for those
...
Automatically generated static code warnings suffer from a large number ...
Background: Most of the existing machine learning models for security ta...
Keeping track of and managing Self-Admitted Technical Debts (SATDs) is
i...
Ethical bias in machine learning models has become a matter of concern i...
Standard software analytics often involves having a large amount of data...
Modern scientific workflows are data-driven and are often executed on
di...
How should software engineering be adapted for Computational Science (CS...
Keeping track of and managing the self-admitted technical debts (SATDs) ...
Standard automatic methods for recognizing problematic code can be great...
Hyperparameter tuning is the black art of automatically finding a good
c...
Hyperparameter tuning is the black art of automatically finding a good
c...
Text mining methods are used for a wide range of Software Engineering (S...