Fuzzy Model Tree for Early Effort Estimation

Mohammad Azzeh, A. B. Nassif
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引用次数: 19

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.
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早期工作量估算的模糊模型树
用例点(UCP)是在软件开发的早期阶段基于用例图估计项目规模的一种众所周知的方法。尽管用例图作为分析面向对象软件需求的实际模型在全世界被广泛接受,但是UCP方法并没有得到足够的重视,因为到目前为止,对于如何从UCP产生软件成果还没有达成一致。本文旨在研究使用模糊模型树的潜力,利用为此目的收集的数据集,基于UCP大小度量得出工作量估计。该方法已通过Tree boost模型、多元线性回归和基于UCP模型的经典努力估计进行了验证。得到的结果是有希望的,比经典的UCP、多元线性回归得到的结果要好,比Tree boost模型得到的结果略好。
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