Abstract--Software effort prediction is an important task in the software development life cycle. Many models including regression models, machine learning models, algorithmic models, expert judgment and estimation by analogy have been widely used to estimate software effort and cost. In this work, a Treeboost (Stochastic Gradient Boosting) model is put forward to predict software effort based on the Use Case Point method.
Nassif et al. REF developed a Treeboost model for software effort estimation based on the Use Case Point model.
A Treeboost Model for Software Effort Estimation Based on Use Case Points
2012 11th International Conference on Machine Learning and Applications
2012 11th International Conference on Machine Learning and Applications
Computer Science