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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/8947

    Title: 使用模糊理論於目標驅動使用案例之功能點分析研究;The Study on Function Point Analysis of Goal-Driven Use Cases using Fuzzy Theory
    Authors: 曹朱榜;Chu-pong Tsaou
    Contributors: 資訊工程研究所
    Keywords: 目標驅動;軟體估算;功能點;模糊理論;使用案例點;GART;FUZZY;Use Case;Function Point
    Date: 2008-07-10
    Issue Date: 2009-09-22 11:38:10 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 傳統之使用案例功能點分析針對使用案例的複雜度只給予三個固定的權值,因而忽略了個別使用案例的複雜程度。本研究提出一個使用案例的度量程序,使用模糊理論於目標驅動使用案例以進行傳統使用案例功能點分析方法之擴充。根據使用案例之間的關聯程度,我們使用模糊歸屬函數與模糊規則進行模糊推導,計算出個別使用案例之未調整目標驅動使用案例功能點(Unadjusted GDUC Points)。之後,進一步考慮系統與環境的複雜因子,計算整個系統調整後之目標驅動使用案例功能點。如此可更精確的表示出個別使用案例的複雜度並進一步了解整體系統之複雜度與所需的開發時程與人力。 Traditional use case point analysis method provides only three fixed complexity grades for use case which can not show the exact complexity of each use case in a system. This study, therefore, provides a use case measurement procedure for goal-driven use cases based on fuzzy theory. We propose a membership function and fuzzy rules to calculate the unadjusted function points of goal-driven use cases (Unadjusted GDUC points) based on the relations between each use cases. Furthermore, the technical and environmental factors are considered to calculate the adjusted use case points of the system. The adjusted GDUC points can be used to estimate the implementation time and effort of the system under development.
    Appears in Collections:[資訊工程研究所] 博碩士論文

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