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| 題 名 | 軟體開發估價之回顧:類神經網路及叢集分析之整合運用=A Review of Software Development Cost Estimation: Integrating Neural Network with Cluster Analysis |
|---|---|
| 作 者 | 殷慕聖; | 書刊名 | 醒吾學報 |
| 卷 期 | 24 民90.10 |
| 頁 次 | 頁343-357 |
| 分類號 | 484.53 |
| 關鍵詞 | 類神經網路; 叢集分析; 機械式學習; Neural network; Cluster analysis; Machine learning; |
| 語 文 | 中文(Chinese) |
| 中文摘要 | 軟體開發估價的精確與否對軟體系統計劃及控制具有關鍵性的影響。近年來,相關研究著重於運用參數模式做為軟體估價之預測準則。 這些預測都是根據程式所需行數及功六之屬性而定的。因此,在系統建置完成前,研究工作必需找出影響估價的一系列因素。 而本文之目的是依據現有資料闡述運用類神經網路及叢集分析來做軟體估價,這使估價更具精確性。此外,網路訓練效率也大為增加。 |
| 英文摘要 | The accuracy of estimating software development cost is crucial to the efficiency of software project planning and control in recent years, research in related areas has focus on adopting parametric models as ways and means to make predictions of development costs, such as lines of codes or function points, Researchers, therefore, are required to indicate and interpret the set of factors that bring influence to cost estimation ahead of the instruction of the system. The purpose of this research is to emphasize the integration of a neural network method into cluster analysis, namely a non-parametric approach, to estimate development cost. Integrating the two techniques allows for a more accurate cost estimate; further, it adds up the training efficiency of the network. |
本系統中英文摘要資訊取自各篇刊載內容。