Software reuse analytics using integrated random forest and gradient boosting machine learning algorithm.
Amandeep Kaur SandhuRanbir Singh BatthPublished in: Softw. Pract. Exp. (2021)
Keyphrases
- random forest
- software reuse
- gradient boosting
- base learners
- random forests
- ensemble methods
- learning algorithm
- decision trees
- ensemble learning
- software components
- software engineering
- software development
- base classifiers
- feature set
- multi label
- loss function
- fold cross validation
- machine learning algorithms
- prediction accuracy
- generalization ability
- training examples
- benchmark datasets
- machine learning methods
- learning process
- training data
- machine learning
- data mining
- logistic regression
- data sets
- naive bayes
- recognition rate
- supervised learning
- feature vectors
- reinforcement learning
- software quality
- feature extraction