應用案例式推理與機器學習於軟體開發風險之檢索

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林元復(Jonathan Lin) 查詢紙本館藏

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資訊管理學系

論文名稱

應用案例式推理與機器學習於軟體開發風險之檢索
(Applying Case-Based Reasoning and Machine Learning to Risk Retrieval of Software Development)

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至系統瀏覽論文 (2027-7-1以後開放)

摘要(中)

現今軟體開發環境隨著資訊科技的快速發展，開發團隊需在有限的時間內產出符合客戶需求的產品，而提高生產效率及品質則為提升其市場競爭力之關鍵因素。然而，軟體專案本身工作極為複雜，在開發過程中存在許多不確定性，且軟體開發過程依靠相關人員的知識與互動。因此對於過程中知識的重複利用相當重要，在過程中導入風險管理可以使軟體專案的最終成果更加完善。本研究針對軟體開發中風險案例的檢索工作，以實務角度出發，開發出一套Web-based之軟體開發風險檢索系統，並透過實際的風險案例來說明及展示系統的操作。系統應用案例式推理以發展風險管理知識重用的流程，並結合機器學習模型來檢索過往相似的風險案例，根據檢索的結果提出合適的風險解決方法做為專案人員決策之參考。在完成系統開發後，本研究為確保系統之有效性，以問卷調查及使用者訪談的方式來驗證系統的效能。結果顯示，使用者對於系統的成效大多數都有正面的評價。

摘要(英)

Nowadays, with the rapid development of information technology, development teams need to produce products that meet the requirements of customers in a limited time, and improving production efficiency and quality is the key factor to enhance their competitiveness in the market. However, the software project is extremely complex and there are many uncertainties in the software development process, besides, the software development process relies on the knowledge and interaction of related personnel. Therefore, it is important to reuse the knowledge in the development process, and the implementation of risk management in the process can improve the final outcome of the software project.
In this research, a Web-based software development risk retrieval system is developed from a practical perspective, and the operation of the system is illustrated and demonstrated through actual risk cases. The system applies case-based reasoning to develop a process of reusing the knowledge of risk management, and combines machine learning models to retrieve similar risk cases in the past, providing appropriate risk solutions based on the retrieval results as a reference for project team members to make decisions. After the system was developed, the system was verified by questionnaire and user interviews to ensure the effectiveness of the system. The results showed that most of the users had positive opinions about the effectiveness of the system.

關鍵字(中)

★ 軟體開發
★ 風險管理
★ 風險檢索
★ 案例式推理
★ 機器學習

關鍵字(英)

★ Software Development
★ Risk Management
★ Risk Retrieval
★ Case-based Reasoning
★ Machine Learning

論文目次

摘要 i
Abstract ii
目錄 iii
圖目錄 v
表目錄 vi
一、緒論 1
1-1研究背景 1
1-2研究問題與動機 2
1-3研究目的 3
1-4研究範圍與假設 4
1-5研究架構 5
二、文獻探討 6
2-1 軟體專案風險管理 6
2-2 案例式推理（Case-based reasoning） 8
2-3 機器學習（Machine Learning） 11
三、系統設計 13
3-1 系統架構 13
3-2資料前處理（Data Preprocessing） 14
3-3 案例式推理 19
3-3-1 案例相似度計算與案例檢索 20
3-3-2 案例重用、案例修正與案例保留 21
四、系統實作與展示 22
4-1 系統開發環境 22
4-2 系統展示 23
五、系統成果與討論 33
5-1 系統成效分析 33
5-1-1 問卷設計 34
5-1-2 問卷結果 36
5-2 使用者訪談 39
5-2-1 訪談設計 39
5-2-1 訪談結果 40
六、結論與未來發展 48
6-1 研究貢獻 48
6-2 研究限制與未來發展 49
參考文獻 50

參考文獻

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指導教授

陳仲儼(Chung-Yang Chen)

審核日期

2022-7-26

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