DocumentCode :
1828266
Title :
Fuzzy Model Tree for Early Effort Estimation
Author :
Azzeh, Mohammad ; Nassif, Ali Bou
Author_Institution :
Dept. of Software Eng., Appl. Sci. Univ., Amman, Jordan
Volume :
2
fYear :
2013
fDate :
4-7 Dec. 2013
Firstpage :
117
Lastpage :
121
Abstract :
Use Case Points (UCP) is a well-known method to estimate the project size, based on Use Case diagram, at early phases of software development. Although the Use Case diagram is widely accepted as a de-facto model for analyzing object oriented software requirements over the world, UCP method did not take sufficient amount of attention because, as yet, there is no consensus on how to produce software effort from UCP. This paper aims to study the potential of using Fuzzy Model Tree to derive effort estimates based on UCP size measure using a dataset collected for that purpose. The proposed approach has been validated against Tree boost model, Multiple Linear Regression and classical effort estimation based on the UCP model. The obtained results are promising and show better performance than those obtained by classical UCP, Multiple Linear Regression and slightly better than those obtained by Tree boost model.
Keywords :
fuzzy set theory; object-oriented methods; regression analysis; software engineering; trees (mathematics); UCP method; early effort estimation; fuzzy model tree; multiple linear regression; object oriented software requirements; project size estimation; software development; tree boost model; use case diagram; use case points method; Estimation; Mathematical model; Object oriented modeling; Predictive models; Regression tree analysis; Software; Training; Effort Estimation; Fuzzy Modelling; Model tree; Use Case Points;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2013 12th International Conference on
Conference_Location :
Miami, FL
Type :
conf
DOI :
10.1109/ICMLA.2013.115
Filename :
6786092
Link To Document :
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