Improving the Accuracy of Software Effort Estimation Based on Multiple Least Square Regression Models by Estimation Error-Based Data Partitioning.
Yeong-Seok SeoKyung-A YoonDoo-Hwan BaePublished in: APSEC (2009)
Keyphrases
- regression model
- estimation error
- data partitioning
- least squares
- average error
- estimation accuracy
- parallel query processing
- error rate
- model selection
- regression methods
- regression analysis
- explanatory variables
- standard deviation
- covariance matrix
- regression trees
- query execution
- ensemble pruning
- query processing
- multivariate regression
- software effort
- databases
- similarity search
- probabilistic model
- feature extraction
- neural network