Intelligent Identification of Simultaneous Faults of Automotive Software Systems Under Noisy and Imbalanced Data Using Ensemble LSTM and Random Forest.
Mohammad AbboushChristoph KniekeAndreas RauschPublished in: IEEE Access (2023)
Keyphrases
- random forest
- software systems
- imbalanced data
- random forests
- ensemble methods
- learning from imbalanced data
- software engineering
- decision trees
- source code
- feature set
- ensemble classifier
- ensemble learning
- imbalanced datasets
- base classifiers
- multi label
- multi agent systems
- software development
- benchmark datasets
- test cases
- pairwise
- face recognition