Reducing the Uncertainty of Agile Software Development Using a Random Forest Classification Algorithm.
Ewelina WinskaEstera KotWlodzimierz DabrowskiPublished in: LASD (2021)
Keyphrases
- classification algorithm
- random forest
- agile software development
- decision trees
- naive bayes
- random forests
- software development
- feature set
- training set
- k nearest neighbor
- knn
- class labels
- ensemble methods
- support vector machine
- base classifiers
- development cycle
- classification method
- ensemble learning
- concept drift
- learning algorithm
- multi label
- ensemble classifier
- clustering algorithm
- software development projects
- small number
- classification accuracy