Robust comparison of similarity measures in analogy based software effort estimation
© 2017 IEEE. Analogy-based software effort estimation (ABE) is a widely-adopted method because of the accuracy it offered as well as its intuitiveness. ABE derives an estimated effort value for a new software project by adapting to the effort values of its similar past projects. Accurately measuring...
Saved in:
Main Author: | Passakorn Phannachitta |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85054237881&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62661 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Model-based software effort estimation - A robust comparison of 14 algorithms widely used in the data science community
by: Passakorn Phannachitta, et al.
Published: (2019) -
Meta Learning and Software Effort Estimation
by: Passakorn Phannachitta
Published: (2020) -
Estimating software projects’ effort, time, and cost using function point analysis and analogy-based effort estimation
by: Tuazon, John Byron D.
Published: (2018) -
A bayesian inference approach for probabilistic analogy based software maintenance effort estimation
by: Li, Y.F., et al.
Published: (2014) -
MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction
by: Kwabena Ebo Bennin, et al.
Published: (2018)