Technical Debt Classification in Issue Trackers using Natural Language Processing based on Transformers.
Daniel SkrysethKarthik ShivashankarIldikó PilánAntonio MartiniPublished in: TechDebt@ICSE (2023)
Keyphrases
- natural language processing
- machine learning
- pattern recognition
- classification accuracy
- support vector machine
- text classification
- pattern classification
- preprocessing
- decision trees
- support vector
- computational biology
- classification systems
- image classification
- machine learning methods
- feature selection
- classification method
- artificial intelligence
- automatic classification
- support vector machine svm
- benchmark datasets
- information extraction
- text processing
- knowledge representation
- natural language
- feature extraction
- model selection
- supervised learning
- data sets
- decision rules
- short term
- long term
- visual tracking
- feature vectors
- feature space
- data mining