ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction.
Javier CámaraRebekka WohlrabDavid GarlanBradley R. SchmerlPublished in: J. Syst. Softw. (2023)
Keyphrases
- architectural design
- dimensionality reduction
- design decisions
- software architecture
- high dimensional
- high dimensional data
- principal component analysis
- low dimensional spaces
- latent space
- linear discriminant analysis
- low dimensional
- feature extraction
- data points
- principal components
- feature selection
- pattern recognition and machine learning
- pattern recognition
- data representation
- trade off
- lower dimensional
- high dimensionality
- structure preserving
- computational complexity
- linear dimensionality reduction
- dimensionality reduction methods
- manifold learning
- input space
- detailed design
- locally linear embedding
- expert systems
- nonlinear dimensionality reduction
- multidimensional scaling
- decision making
- graph embedding
- face recognition
- kernel pca
- data sets
- knn