Combining Retrieval and Classification: Balancing Efficiency and Accuracy in Duplicate Bug Report Detection.
Qianru MengXiao ZhangGuus RamackersJoost VisserPublished in: CoRR (2024)
Keyphrases
- classification accuracy
- accuracy rate
- support vector machine classifier
- detection accuracy
- predictive accuracy
- detection rate
- generalization ability
- image retrieval
- classification rate
- retrieval accuracy
- high accuracy
- computational efficiency
- machine learning
- image classification
- information retrieval systems
- false positive rate
- classification method
- fold cross validation
- multiple classifier systems
- retrieval efficiency
- computational cost
- support vector
- source code
- image database
- object detection
- support vector machine
- prediction accuracy
- computational complexity
- classification algorithm
- bug reports
- feature selection
- information retrieval
- mit bih arrhythmia database
- classification models
- detection method
- detection algorithm
- text classification
- feature extraction
- decision trees
- retrieval systems
- false positives
- false alarms
- support vector machine svm
- text categorization
- query expansion
- ecg signals
- open source
- discriminative classifiers
- supervised learning
- feature space