Improving high-impact bug report prediction with combination of interactive machine learning and active learning.
Xiaoxue WuWei ZhengXiang ChenYu ZhaoTingting YuDejun MuPublished in: Inf. Softw. Technol. (2021)
Keyphrases
- high impact
- active learning
- machine learning
- prediction accuracy
- bug reports
- random sampling
- learning algorithm
- supervised learning
- selective sampling
- pattern recognition
- prediction model
- unlabeled data
- source code
- semi supervised
- user interaction
- virtual reality
- learning strategies
- transfer learning
- machine learning methods
- data mining
- data sets
- feature selection
- labeled data
- decision trees
- prediction error
- user friendly
- data analysis
- training set
- artificial neural networks
- computer graphics
- information extraction
- semi supervised learning
- software systems
- computer science
- computational intelligence
- machine learning algorithms
- machine learning approaches
- experimental design
- prediction algorithm
- predictive modeling
- text classification
- computer vision
- pool based active learning