Using error abstraction and classification to improve requirement quality: conclusions from a family of four empirical studies.
Gursimran Singh WaliaJeffrey C. CarverPublished in: Empir. Softw. Eng. (2013)
Keyphrases
- empirical studies
- uci datasets
- high quality
- empirical analysis
- real world data sets
- pattern recognition
- classification process
- classification accuracy
- improve the classification accuracy
- support vector
- pattern classification
- text classification
- maximum error
- error free
- classification scheme
- feature extraction
- supervised learning
- error rate
- improve quality
- classification method
- classification models
- automatic classification
- image quality
- experimental design
- decision trees
- support vector machine
- neural network
- machine learning
- feature selection
- high level
- training set
- quality assessment
- software engineering
- svm classifier
- model selection