| 混源软件质量模型与度量方法研究 |
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| 引用本文： | 刘启林,董威,尹良泽,齐璇,杨沙洲. 混源软件质量模型与度量方法研究[J]. 计算机科学, 2017, 44(4): 82-84, 95 |
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| 作者姓名： | 刘启林 董威 尹良泽 齐璇 杨沙洲 |
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| 作者单位： | 国防科学技术大学计算机学院 长沙410073,国防科学技术大学计算机学院 长沙410073,国防科学技术大学计算机学院 长沙410073,北京系统工程研究所 北京100101,国防科学技术大学计算机学院 长沙410073 |
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| 摘 要： | 由于混源软件包含自主代码、开源代码等不同来源代码,从而具有更高的多样性和复杂性,对其质量的度量评估与传统软件存在极大区别。为了度量混源软件质量,建立混源软件质量度量模型和方法是非常必要的。通过分析混源软件质量特性,提出混源软件质量模型。然后利用层次分析法、幂性法及线性法构建度量方法体系。最后对UbuntuKylin操作系统进行了实验性的度量评估,验证了模型与方法的可行性和有效性。
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| 关 键 词： | 混源软件 质量模型 软件度量 自主可控 度量方法 |
| 收稿时间： | 2015-11-30 |
| 修稿时间： | 2016-02-26 |
Research on Mixed Source Software Quality Model and Measurement Method |
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| LIU Qi-lin,DONG Wei,YIN Liang-ze,QI Xuan and YANG Sha-zhou. Research on Mixed Source Software Quality Model and Measurement Method[J]. Computer Science, 2017, 44(4): 82-84, 95 |
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| Authors: | LIU Qi-lin DONG Wei YIN Liang-ze QI Xuan YANG Sha-zhou |
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| Affiliation: | School of Computer,National University of Defense Technology,Changsha 410073,China,School of Computer,National University of Defense Technology,Changsha 410073,China,School of Computer,National University of Defense Technology,Changsha 410073,China,Beijing Institute of System Engineering,Beijing 100101,China and School of Computer,National University of Defense Technology,Changsha 410073,China |
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| Abstract: | Because the mixed source software(MSS) contains independent code,open source code and other different codes,the MSS has higher diversity and complexity,and quality measurement is greatly different between traditional software.In order to measure the MSS,it is very essential to establish measurement model and method.Based on MSS quality property,this paper put forward mixed source software quality model. Then we used the analytic hierarchy process,power method and linear method to build measurement method system.Finally we performed an experimental measurement on UbuntuKylin operating system.The experimental results shows the effectiveness,feasibility of the model and method. |
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| Keywords: | Mixed source software Quality model Software measurement Independence and controllability Measure methods |
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