Synthetic Minority Over-sampling TEchnique (SMOTE) for Predicting Software Build Outcomes.
Jacqui FinlayRussel PearsAndy M. ConnorPublished in: SEKE (2014)
Keyphrases
- class distribution
- minority class
- imbalanced data
- class imbalance
- software systems
- majority class
- class imbalanced
- classification error
- source code
- computer systems
- training data
- highly imbalanced
- software tools
- imbalanced datasets
- software design
- software developers
- real world
- cost sensitive
- software architecture
- test cases
- software development
- software engineering
- user interface
- original data
- software maintenance
- nearest neighbour
- real images are presented
- training set
- case study