Early stage software effort estimation using random forest technique based on use case points-Reference-Cited by-同舟云学术

Early stage software effort estimation using random forest technique based on use case points

Published:2016-02 Issue:1 Volume:10 Page:10-17
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET softw.

Author:

Satapathy Shashank Mouli¹,Acharya Barada Prasanna¹,Rath Santanu Kumar¹

Affiliation:

1. Department of Computer Science and Engineering National Institute of Technology Rourkela Rourkela Odisha India

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2014.0122

Reference25 articles.

1. Carbone M. Santucci G.: ‘Fast&&serious: a uml based metric for effort estimation’.Proc. 6th ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE'02) 2002 pp.313–322

2. Class point approach for software effort estimation using stochastic gradient boosting technique

3. Software development cost estimation using function points

4. Fuzzy-class point approach for software effort estimation using various adaptive regression methods

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A random forest model for early-stage software effort estimation for the SEERA dataset;Information and Software Technology;2024-05

2. Preliminary Estimation for Software Development Projects Empowered with a Method of Recommending Optimal Duration and Team Composition;Applied System Innovation;2024-04-23

3. Recommendation of Machine Learning Techniques for Software Effort Estimation using Multi-Criteria Decision Making;JUCS - Journal of Universal Computer Science;2024-02-28

4. Diverse Bagging Effort Estimation Model for Software Development Project;Lecture Notes in Computer Science;2024

5. Price prediction of residential buildings using random forest and artificial neural network;HBRC Journal;2023-12-22