Software Risk Prediction at Requirement and Design Phase : An Ensemble Machine Learning Approach.
Yibeltal AssefaEsubalew AlemnehShegaw NibretAbebaw WorkuPublished in: ICT4DA (2023)
Keyphrases
- machine learning
- prediction accuracy
- neural network ensemble
- prediction model
- learning algorithm
- pattern recognition
- prediction algorithm
- ensemble methods
- machine learning methods
- software tools
- data mining
- feature selection
- software systems
- learning problems
- risk management
- prediction error
- random forests
- ensemble classifier
- high risk
- multiple classifier systems
- software development
- text classification
- training set
- text mining
- ensemble learning
- active learning
- information extraction
- software projects
- explanation based learning
- inductive learning
- software architecture
- training data
- machine learning algorithms
- neural network
- base classifiers
- risk factors
- data analysis
- decision trees
- artificial neural networks
- user interface
- supervised learning
- natural language processing
- statistical methods
- computational intelligence
- source code
- learning systems
- model selection