The study catalogs 11 Angular code smells from grey literature and shows an automated detection tool achieves high accuracy and F1-scores on a validated dataset.
In: IEEE International Con- ference on Software Maintenance and Evolution
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An Empirical Evaluation of Code Smell Detection in Angular Applications
The study catalogs 11 Angular code smells from grey literature and shows an automated detection tool achieves high accuracy and F1-scores on a validated dataset.
- Commit-Aware Learning-Based Test Case Prioritization for Continuous Integration