Applying Fuzzy ID3 Decision Tree for Software Effort Estimation
Web Effort Estimation is a process of predicting the efforts and
cost in terms of money, schedule and staff for any software
project system. Many estimation models have been proposed
over the last three decades and it is believed that it is a must for
the purpose of: Budgeting, risk analysis, project planning and
control, and project improvement investment analysis. In this
paper, we investigate the use of Fuzzy ID3 decision tree for
software cost estimation; it is designed by integrating the
principles of ID3 decision tree and the fuzzy set-theoretic
concepts, enabling the model to handle uncertain and imprecise
data when describing the software projects, which can improve
greatly the accuracy of obtained estimates. MMRE and Pred are
used as measures of prediction accuracy for this study. A series
of experiments is reported using two different software projects
datasets namely, Tukutuku and COCOMO’81 datasets. The
results are compared with those produced by the crisp version of
the ID3 decision tree.
Keywords: Software cost estimation, Decision Tree, Fuzzy ID3, Fuzzy Entropy
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