臺灣博碩士論文加值系統

近年來能力成熟度整合模式(Capability Maturity Model Integration, CMMI-SE/SW/IPPD/SS)已經成為軟體產業品質保證及國際合作的認證標準，其中CMMI Level 4所要求的數量化管理必須使用統計製程管制(statistical process control, SPC)來監控軟體發展流程(software development process, SDP)，為了使得軟體發展流程具有穩定性與可預測性，越來越多軟體廠商使用管制圖來監控軟體發展流程。雖然製造業已經成功的運用管制圖來偵測產品或製程變異，但是軟體發展流程與製造流程彼此之間卻有相當大的差異，使得軟體廠商不易成功地將SPC應用於軟體發展流程上。由於軟體指標不僅一個，且彼此有關連性，因此本論文之主要目的是發展一套多變量管制系統來同時監控多個軟體指標。本論文最後利用台灣某軟體公司的實際資料來說明本論文之管制系統。

In the recently year, the recognizing of Capability Maturity Model Integration (CMMI) have became insurance of quality of a software industry and standard of international cooperation. The level 4 of CMMI called Quantitatively Managed Level requires using statistical process control(SPC) to monitor software development process(SDP). In order to make the SDP more stable and more predictable, more and more software companies start using control chart to monitor SDP. Although manufacturing industry have use control chart to detect variation of products or variation of process successfully for years, the difference between SDP and manufacturing process make it is hard to use control chart on SDP successfully for software companies. Since there are more than one software metrics need to be monitored and one metric correlates with another metric, this study propose a multivariable control system to monitor more than one metrics at the same time. A case study is also presented to verify this system does work.

摘要 iii
英文摘要 iv
目錄 v
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 4
1.3 研究範圍與假設 5
1.4 研究架構 5
第二章 文獻探討 6
2.1 使用SPC監控軟體發展流程 6
2.2 軟體指標的相關議題 9
2.2.1 基礎建設 10
2.2.2 軟體指標的選擇 11
2.2.3 軟體指標的特殊型態 12
2.2.4 選擇何種管制圖 13
2.3 多變量管制圖 17
2.3.1多變量常態分配 18
2.3.2 Hotellint T^2管制圖 19
2.3.3 樣本大小為1之Hotellint T^2管制圖 22
2.3.4 尋找失控的變數 22
第三章 建構軟體指標之管制流程 24
第四章 實例驗證 31
4.1 建構某軟體公司之多變量管制系統 31
4.2使用模擬資料測試本研究方法所得之流程能力基準 38
4.3與單變量管制圖之比較 40
第五章 結論與建議 42
5.1 結論 42
5.2 建議 42
參考文獻 43

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