CMMI相關研究之智識結構探索

The Intellectual Structure of CMMI Study

吳耀椿(Yao-Chun Wu)

指導教授 ： 陳宗天

國立臺北大學/商學院/資訊管理研究所/碩士(2008年)

摘要

本研究以智識結構(Intellectual Structure)的角度，分析Web of Science及CiteSeer兩個學術網站電子資料庫，蒐集研究領域可能與CMMI(Capability Maturity Model Integration) 相關的文獻資料，藉由知識結構相關的理論與方法，發展出兩電子資料庫各自的CMMI智識結構。為主要因素命名需進一步探討各分群的文獻，進而解析其中的研究子領域關係圖，並將兩者的結果進行比較。
統計學的主成份分析法可以萃取出主要因素，轉軸後萃取出的因素其相關性最低，因素內同群文獻之相關性最高，並以因素負載(Factor Loading)絕對值大於0.6決定出各因素的代表性文獻。文獻內容的判讀結果，屬於同一因素的文獻具相同的研究方向，可以清楚地命名。分析Web of Science文獻資料得到6個子領域，以管理、應用等方面的研究議題為主；分析CiteSeer文獻資料的結果得到19個子領域，則偏重技術方面議題及理論的探討。兩者的結果可以得到相輔相成的效果，增加吾人對CMMI基礎知識與應用情況的了解。
CMMI智識結構可以提供研究人員掌握整個文獻資料庫相關研究之概觀以及CMMI主要的基礎知識，快速獲得有價值的資訊，節省研究的時間與精力，增進研究的成果。

關鍵字

能力成熟度整合模型 ； 軟體工程 ； 智識結構 ； 引文分析 ； 知識領域視覺化

並列摘要

The explosive growth of literature, which is difficult to follow by researchers, has been the driver of the development of effective literature analysis methods. The intellectual structure of a knowledge domain is a way to map the relevant studies of a research field to facilitate the understanding of a research domain.
One of the citation datasets was retrieved from Web of Science in April 2008. We mapped the intellectual structure of CMMI (Capability Maturity Model Integration) and found five sub- areas in this field study. To develop the CMMI intellectual structure, 1117 relevant literatures in the field of CMMI were analyzed. We use principle component analysis to identify the main subfields in the domain. The articles under each factor are mapped out using Pathfinder Net with which the proximity and relationships of these subfields can be visualized. The five sub-areas we found are extremely matching the field of CMMI.
Another citation dataset was retrieved from CiteSeer in August 2006. As the same procedure used to analyze the dataset from Web of Science, 1334 relevant literatures in the field of CMMI were analyzed. The nineteen sub-areas we found are most matching the field of CMMI.
The characteristics of two intellectual structures are different. The sub-areas of Web of Science are relevant with management field; and the ones of CiteSeer are relevant with computer science and computer engineering fields. We could link up the results to complement each other as a most effective reference for researchers.

並列關鍵字

CMMI ； Software engineering ； Intellectual structure ； Citation analysis ； Knowledge Domain Visualization

參考文獻

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