All Stories

  1. Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques
  2. Empirical assessment of machine learning models for agile software development effort estimation using story points
  3. Empirical Assessment of Machine Learning Models for Effort Estimation of Web-based Applications
  4. Effort estimation of web-based applications using machine learning techniques
  5. Early stage software effort estimation using random forest technique based on use case points
  6. Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model
  7. Software project risk assessment based on cost drivers and Neuro-Fuzzy technique
  8. Empirical Validation of Neural Network Models for Agile Software Effort Estimation based on Story Points
  9. Class point approach for software effort estimation using stochastic gradient boosting technique
  10. Class point approach for software effort estimation using various support vector regression kernel methods
  11. Fuzzy-class point approach for software effort estimation using various adaptive regression methods
  12. Class point approach for software effort estimation using soft computing techniques
  13. Slicing of Programs Dynamically under Distributed Environment