Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations.
Szymon StradowskiLech MadeyskiPublished in: ASE (2023)
Keyphrases
- academia and industry
- software defect prediction
- machine learning
- researchers and practitioners
- technological advances
- feature ranking
- cutting edge
- computing systems
- machine learning methods
- imbalanced data
- ensemble learning
- machine learning algorithms
- inductive learning
- feature selection
- text classification
- computational intelligence
- active learning
- decision trees
- class imbalance
- learning algorithm
- data mining
- learning problems
- semi supervised learning
- high dimensional
- data analysis
- artificial intelligence
- sample selection bias