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Web Effort Estimation is a process of predicting the efforts and cost interms of money, schedule and staff for any software project system. Manyestimation models have been proposed over the last three decades and it isbelieved that it is a must for the purpose of: Budgeting, risk analysis,project planning and control, and project improvement investment analysis. Inthis paper, we investigate the use of Fuzzy ID3 decision tree for software costestimation; it is designed by integrating the principles of ID3 decision treeand the fuzzy set-theoretic concepts, enabling the model to handle uncertainand imprecise data when describing the software projects, which can improvegreatly the accuracy of obtained estimates. MMRE and Pred are used as measuresof prediction accuracy for this study. A series of experiments is reportedusing two different software projects datasets namely, Tukutuku and COCOMO'81datasets. The results are compared with those produced by the crisp version ofthe ID3 decision tree.

Applying Fuzzy ID3 Decision Tree for Software Effort Estimation