在軟體發展的初期，軟體成本預估是相當重要的一個工作，成本預估就是決定軟體發展所要花費的時間人力金錢等，為了能夠準確的預估成本。如何建立一個適當的成本預估模型就成為一個重要的課題,需要將客戶的需求做出正確的分析。成本預估模型中有很多影響成本的因素,其中軟體大小的評估佔很重要的比重。若軟體大小的評估精確,軟體專管理將能更加的準確，如安排時程或分配人力等資源。目前國內外常用的軟體大小評估的方法有功能點和程式碼行數,本論文提出結合元件點和模糊邏輯理論的元件功能點評估方法，元件功能點是套用元件點方法將功能點分類各類元件之後輸入模糊邏輯函式後用分別不同權重值去計算。最後用國際軟體基準標準組織(ISBSG)所提供的專案資料做驗證,每一個專案會有不同的環境和實作的程式語言，我們把專案資料分類並做回歸分析導出成本預估模型。結果顯示元件功能點方法比起原始功能點在增強型和四代語言類型的專案的成本預估模型有較小的平均相對誤差， 顯示出穩定性較佳。

At the beginning of software development, software cost estimation is a very important task. Software cost estimation is to determine the cost such as time, money, manpower in software development. In order to estimate cost more accurate, how to constructive a cost model becomes an important issue that needs to make the right analysis in customer requirement. There are many cost drivers that affect the cost in cost model, in which the size estimation is one of the determining factors. If a more accurate software size is estimated, the software project management plan will be more correct, such as arrangements of the schedule or allocation of the resources. Function Point (FP) and Line of code (LOC) are commonly used to measure software size. In this thesis, we propose a component function point (CFP) which integrates component point (CP) approach and fuzzy logic theorem to measure the software size. CFP classifies the function point components like component point (CP) and uses the fuzzy member function count by different weights. We validate are proposed CFP with the project data which are provided by International Software Benchmarking Standards Group (ISBSG). Every project is in different environment and implementing language. We classify the project data and get the effort estimation model by regression analysis. The result shows that the CFP has an improvement in MMRE in enhancement and fourth generation project, implying it is more sound than function point.

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