A framework for constructing semantically composable feature models from natural language requirements.
Nathan WestonRuzanna ChitchyanAwais RashidPublished in: SPLC (2009)
Keyphrases
- natural language
- probabilistic model
- modeling framework
- mathematical framework
- case study
- software engineering
- model selection
- experimental data
- bayesian framework
- design principles
- generic model
- data mining
- multiple features
- classification models
- computational models
- statistical models
- semantic information
- knowledge representation
- prior knowledge
- machine learning