Investigating the Accuracy of Test Code Size Prediction using Use Case Metrics and Machine Learning Algorithms: An Empirical Study.
Mourad BadriLinda BadriWilliam FlageolFadel TouréPublished in: ICMLSC (2017)
Keyphrases
- machine learning algorithms
- predictive accuracy
- prediction accuracy
- benchmark data sets
- learning algorithm
- machine learning
- learning problems
- decision trees
- machine learning approaches
- machine learning methods
- learning models
- decision tree learners
- standard machine learning algorithms
- learning tasks
- random forests
- machine learning models
- machine learning systems
- classification accuracy
- computational complexity
- input features
- statistical machine learning
- multiclass classification
- source code
- knn
- machine learning and data mining algorithms
- imputation methods
- kernel methods
- general purpose