TY - GEN
T1 - Construct quality index system of foundational software platform using improved PCA method
AU - Lan, Yuqing
AU - Zhao, Tong
AU - Guo, Shuhang
AU - Gao, Jing
AU - Zhao, Hui
PY - 2008
Y1 - 2008
N2 - As a result of the trend of platform, network, service-oriented appeared during the process of software development, the Foundational Software Platform (FSP), as a kind of software modality, has received more and more attention. However, as it has been widely used, the measurement on FSP cannot be implemented effectively, which further influence the quality of its upper applications. This, to a great extent, is because of the uniqueness of basic software platform. There is no a scientific method which can be used to determine its quality index system. This paper proposes an improved method of Principle Components Analysis to create appropriate quality index system for FSP. This method can integrate a series of indicators into a few comprehensive ones like the Principle Component Analysis (PCA). Meantime, it could handle the situation of vague or large amount of indicators, which is the flaw of the PCA. It guarantees the accuracy and authenticity of the results. Moreover, we verify the quality index system through practice. It has been proven that the quality model is helpful and the Improved PCA approach is useful when constructing index system.
AB - As a result of the trend of platform, network, service-oriented appeared during the process of software development, the Foundational Software Platform (FSP), as a kind of software modality, has received more and more attention. However, as it has been widely used, the measurement on FSP cannot be implemented effectively, which further influence the quality of its upper applications. This, to a great extent, is because of the uniqueness of basic software platform. There is no a scientific method which can be used to determine its quality index system. This paper proposes an improved method of Principle Components Analysis to create appropriate quality index system for FSP. This method can integrate a series of indicators into a few comprehensive ones like the Principle Component Analysis (PCA). Meantime, it could handle the situation of vague or large amount of indicators, which is the flaw of the PCA. It guarantees the accuracy and authenticity of the results. Moreover, we verify the quality index system through practice. It has been proven that the quality model is helpful and the Improved PCA approach is useful when constructing index system.
KW - Contribution rate
KW - Delphi method
KW - Foundational software platform
KW - Index system
KW - Principle component analysis
UR - https://www.scopus.com/pages/publications/52149093004
U2 - 10.1109/WCICA.2008.4594606
DO - 10.1109/WCICA.2008.4594606
M3 - 会议稿件
AN - SCOPUS:52149093004
SN - 9781424421145
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 8370
EP - 8375
BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
T2 - 7th World Congress on Intelligent Control and Automation, WCICA'08
Y2 - 25 June 2008 through 27 June 2008
ER -