v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects.
Cuauhtémoc López MartínMohammad AzzehAli Bou NassifShadi BanitaanPublished in: CoRR (2019)
Keyphrases
- software projects
- polynomial kernels
- kernel function
- support vector machine
- support vector regression
- support vector
- software engineering
- source code
- software development
- development process
- project management
- software quality
- software maintenance
- software systems
- software development effort
- gaussian kernels
- linearly separable
- kernel methods
- effort estimation
- input space
- feature space
- svm classifier
- feature selection
- kernel matrix
- training data
- local binary pattern
- support vector machine svm
- feature set
- multiple kernel learning
- knowledge management
- kernel learning
- special case
- high dimensional
- multiscale