臺灣博碩士論文加值系統

隨著軟體展業的蓬勃發展人們開始意識到要高效率、高質量和低成本地開發軟體，必須改善軟體生產流程，即如何改善軟體流程是當前軟體管理工程的重要課題。於是軟體產業為了提升組織的競爭力，各企業目前都積極的導入，能力成熟度整合模式(Capability Maturity Model Integration；CMMI)以改善組織流程及提升成熟度。軟體組織形成一套完整而成熟的軟體流程不是一蹴而就的事情，需要經歷一系列的成熟度。軟體組織首先要進行差異分析，評定自己比較接近哪一個成熟度，然後再根據自身的情況來決定要採取哪些改進活動，來更有效地改進自己的軟體流程。
本論文將提出一個以服務導向架構應用循序樣式探勘技術協助能力成熟度的差異分析的方法，稱為 MBGA (Mining-Based Goal Analysis)，本方法結合了資料探勘中循序樣式探勘技術來找出組織內軟體開發者的開發習慣並結合組織依據 CMMI 中所制定的流程，來幫助組織自動化分析組織流程與 CMMI 的之間差異。

With the development of software industry, people begin to realize the quality of a software product is heavily dependent on the quality of their development process. Therefore, “process improvement” methodology become an important issue in the software engineering area. CMMI is now the de-facto industrial standard for process improvement. SCAMPI is a benchmark quality rating method relative to CMMI model. As SCAMPI appraisal is a fully human-judged, instantiation-based method that will take the organization a lot of time, in this research we propose a light-weight and mining-based approach called MBGA (Mining-Based Goal Analysis) to help organization evaluate their gap to CMMI.

The assumption of our approach is that the organization has developed a workflow system for CMMI practice and the workflow system is built on a service oriented architecture. When developers and project managers use the workflow system, all logs will be recorded. As the logs are significant evidence of process execution, we analyze these logs to evaluate whether CMMI goals are still satisfied in the organization. Since the evaluation is conducted automatically by our system, the organizations can reduce their effort on auditing their process. Besides that, our approach extends the SCAMPI in which a goal can be either satisfied or not satisfied. In our approach, a goal may be satisfied to a degree, which can reflect a more acceptable concept in real world.

誌謝......................................i
摘 要...................................ii
Abstract................................iii
目錄.....................................iv
圖目錄....................................v
表目錄...................................vi
第一章 緒論...............................1
1.1研究動機...............................1
1.2研究方法概述...........................2
1.3論文架構...............................4
第二章 背景知識...........................5
2.1 網際服務(Web Service).................5
2.2資料探勘(Data Mining)..................6
2.3能力成熟度整合模式 (CMMI)..............7
第三章 相關研究..........................10
3.1 CMMI流程改善標準評鑑方法.............10
3.2 服務導向之資訊整合機制...............14
第四章 研究方法架構與設計................16
4.1系統概述..............................16
4.2 CMMI基礎架構 (CMMI Basic Structure)..17
4.3組織流程 (Organization Process).......18
4.4差異分析器(Gap Analyzer)..............21
4.5資料探勘技術之運用....................29
4.6 SCAMPI 與 MBGA 之比較................33
第五章 系統設計與實作....................35
5.1問題描述..............................35
5.2問題實做..............................35
5.3差異分析器系統測試....................36
第六章 結論與未來發展....................42
致謝.....................................44
參考文獻.................................45
附錄A....................................47
英譯一覽表...............................47
附錄B....................................50
定義一覽表...............................50

[1] Capability Maturity Model Integration URL: http://www.sei.cmu.edu/cmmi/
[2] M.B. Chrissis, M. Konrad and S. Shrum, CMMI: Guidelines for Process Integration and Product Improvement, Addison-Wesley Professional, 2003.
[3] Service-oriented Information Marketplace, SIM. URL: http://140.115.51.135/index.html
[4] D. Fensel and C. Bussler, “The Web Service Modeling Framework WSMF”, Electric Commerce Research and Application, 2002, pp. 113-137.
[5] M.S. Chen, J. Han and P.S. Yu, “Data mining: an overview from a database perspective”, IEEE Transactions on Knowledge and Data Engineering, Dec. 1996, pp. 866-883.
[6] R. Agrawal and R. Srikant, “Mining sequential patterns”, Data Engineering, 1995. Proceedings of the Eleventh International Conference, Taipei, 1995, pp. 3-14.
[7] Y.L. Chen, M.C. Chiang and M.T. Ko, “Discovering time-interval sequential patterns in sequence databases”, Expert Systems with Applications, October, 2003, pp. 343-354.
[8] B. Zhou, S.C. Hui and K. Chang, “An intelligent recommender system using sequential Web access patterns”, Cybernetics and Intelligent Systems, 2004 IEEE Conference on, Dec. 2004, pp. 393 - 398.
[9] D.M. Ahern, J. Armstrong, A. Clouse, J.R. Ferguson, W. Hayes and K.E. Nidiffer, CMMI SCAMPI Distilled: Appraisals for Process Improvement, Addison-Wesley Professional, 2005.
[10] IBM SOA and Web services URL: http://www-128.ibm.com/developerworks/views/webservices/libraryview.jsp?search_by=BPEL4WS:
[11] The Fundamental Rules” of Software Engineering URL: http://www.ics.uci.edu/~emilyo/SimSE/se_rules.html
[12] I. Sommerville, Software Engineering, Addison-Wesley, 200
[13] K.Y. Huang and C.H. Chang, “SMCA: A General Model for mining Asynchronous Periodic Pattern in temporal database”, IEEE Transaction on Knowledge and Date Engineering, June 2005, pp. 774-785.