軟體度量是軟體專案管理中一項重要的研究議題。由於軟體度量不僅能夠評量與預測軟體開發的狀態，同時也是軟體專案規劃與估計的參考依據， 因此，軟體度量是專案開發過程中不可欠缺之重要資訊來源近年來，許多軟體專案已朝向在網際網路環境下開發，若採用人工度量作業的困難度極高。有鑑於此，本研究擬探討在Web環境下之軟體專案度量議題，包括成本、時程、生產力與品質等重要度量議題，並以COCOMOⅡ成本模式、IEEE 1045生產力度量指標標準與ISO 9126品質模式為基礎，結合差異分析法、比例法與加權評分法等提出一個整合性軟體專案度量模式，該模式涵蓋詳細度量程式、指標以及專案評量、預測及決策建議等資訊，並據以發展一套Web-Based的整合型軟體專案度量資訊系統，用以協助使用者進行軟體專案度量工作。
同時，本系統尚結合知識庫系統與智慧型代理人協助專案狀態評量、預測以及相關決策方案分析建議，其中包含狀態評量、決策分析與訊息通知等三種代理人程式之功能，可以有效的解決在網際網路環境下中大型軟體專案度量問題，並且提供一些可行因應方案供專案管理者參考。本研究之個案實例係以國內某大鋼鐵公司研發部門所進行的大型軟體專案計劃作為實證對象，專案管理者可以利用本研究所發展之整合型軟體專案度量資訊系統，在專案執行階段中，進行即時的軟體專案度量，並提供不同開發階段及整體性狀態評量與預測等相關資訊，產生一些適合的相關建議方案，可以做為專案監控的依據。
為驗證本研究所發展之整合型軟體專案度量資訊系統的效益，針對小型、中型與大型等三種不同規模之專案團隊進行模擬分析，經過模擬分析結果，可以發現當專案規模越大以及專案開發人員越多時，節省的工作量也愈多。換言之，本系統對於分散式的中大型軟體專案的度量作業績效愈佳。此外，根據本研究的模擬實驗結果，平均花費執行時間由少至多的順序分別為：(1)整體專案狀態評量與決策、(2)軟體生命週期狀態評量與決策、(3)軟體生命週期時程狀態預測與決策、與(4)軟體生命週期成本狀態預測與決策。而且狀態評量與決策工作所需時間有明顯低於狀態預測與決策工作。整體而言，透過本研究所發展之度量模式與工具不僅能夠有效解決軟體專案的整合性度量問題，且能提供專案狀態評量、預測與決策資訊，累積專案開發的經驗與知識，並且能全面提升上述作業的效率與品質。

Software measurement is an important research issue in software project management. Software metric is a basic index to reflect the status and predictions of schedule and cost of a software project and it is also an important information source for software project planning and estimations. Recently many software projects have been shifted to implement on the Internet. Therefore, it is difficult to implement software measurement by labor work. Based on above descriptions, this research aims to investigate the key issues of implementing software measurement on the web including four kinds of metrics for cost estimation, project progress, productivity, and software quality, etc. In this study, we use COCOMOII, IEEE 1045 and ISO 9126 as a foundation for constructing an integrated software project measurement model. This model proposes a systematic procedure for implementing the software measurement and assessment for software projects and important information needed for software assessment, forecasting, and decision-making at each software development phase are included.
To examine the applicability and practicability of the proposed model, we develop a web-based integrated software metric information system. Furthermore, we integrate knowledge base system and intelligent agent into the software metric information system. It aims to provide useful information such as software assessment, forecasting and decision-making for software developers. A case study in a steel company in Taiwan is conducted. The software project manager can use this web-based software metric information system to implement software measurement and forecast the project progress and moreover integrated information about assessment and forecasting are provided.
To verify the performance of the web-based software metric information system, a simulation study of estimation of efforts implementing on the web is conducted by using the small, median and large-scale software projects. Research findings show that the efforts on software project measurement can be dramatically reduced when the project size is very large. In other words, an agent-based knowledge base system is an effective tool for a medium and large-scale project implementing in a distributed environment. In addition, according to the results of the simulation study, average times spent on the decision-making for assessment and forecasting are ranked as follows: cost assessment and forecasting by software development process, schedule assessment and forecasting by software development process, status assessment and forecasting by software development process, and status assessment and forecasting. Times spent on status assessment and forecasting is apparently less than those on status forecasting and decision-making. In conclusion, the proposed model and the web-based metric information system can not only solve the issues of implementing software measurement, information about status assessment and forecasting are also provided. Moreover, experiences and knowledge are systematically accumulated and then the efficiency and quality of software project management will be effectively improved.

中文摘要 I
ABSTRACT III
誌謝 VI
目錄 VII
圖目錄 IX
表目錄 XII
壹、緒論 1
一、研究背景與動機 1
二、研究目的 3
三、研究流程 4
貮、文獻探討 7
一、軟體開發流程 7
二、軟體度量理論 9
三、軟體度量在軟體開發流程之應用 21
四、智慧型代理人在軟體專案之應用 23
參、整合性軟體專案度量模式 28
一、研究方法 28
二、研究架構 29
三、整合性軟體專案度量模式之建立 31
肆、整合型軟體專案度量資訊系統分析與設計 50
一、系統功能 50
二、系統架構 56
三、系統運作方式 61
伍、系統實作與範例展示 79
一、系統實作環境與開發工具 79
二、範例實作與畫面展示 80
陸、分析與討論 116
一、模擬分析與實驗 116
二、整合性軟體專案度量模式在軟體開發工作應用績效 125
三、研究貢獻 129
柒、結論與後續研究建議 132
一、結論 132
二、後續研究建議 133
參考文獻 135
附錄一、軟體專案品質度量問卷 143
作者簡介 146

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