Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts.
Leif JonssonMarkus BorgDavid BromanKristian SandahlSigrid EldhPer RunesonPublished in: Empir. Softw. Eng. (2016)
Keyphrases
- machine learning
- learning algorithm
- feature selection
- pattern recognition
- industrial applications
- small scale
- source code
- semi automated
- information extraction
- machine learning algorithms
- software systems
- machine learning methods
- ensemble methods
- training data
- artificial intelligence
- neural network
- fully automated
- real world
- data mining
- decision trees
- computer science
- knowledge representation
- active learning
- training set
- computational intelligence
- ensemble learning
- random forest
- learning tasks
- real life
- model selection
- support vector machine
- statistical methods
- knowledge acquisition
- reinforcement learning
- text classification
- random forests
- explanation based learning
- supervised learning
- feature ranking
- software evolution
- bug reports