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�������պ����ѧѧ�� 2009, Vol. 35 Issue (9) :1148-1151    DOI:
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Evaluate interoperability of foundational software platform by Bayesian networks
Lan Yuqing, Zhao Tong*
School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� Interoperability is one of the most important features of current software. Bayesian networks was proposed to solve the problem of evaluating interoperability of foundational software platform after analyzing both the problem domain and the Bayesian networks feature domain. First of all, Bayesian algorithm was chosen according to the problem domain, and actual data were gathered for importing domain knowledge. Bayesian structure was formed by the selected algorithm and used to learn its parameters. During this process, the chosen K2 algorithm was improved. After that, Bayesian reasoning was used to evaluate the grade of interoperability of foundational software platform according to the established Bayesian structure and parameters. At last, an application showed how to use this brand-new model to evaluate the interoperability of foundational software platform. The experimental result proved the reasonableness and usefulness of the model.
Keywords�� Bayesian network   interoperability   foundational software platform   K2 algorithm     
Received 2008-09-24;


About author: ������(1969-),��,���ɺ��ͺ�����,��ʿ��,lanyuqing@buaa.edu.cn.
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Lan Yuqing, Zhao Tong.Evaluate interoperability of foundational software platform by Bayesian networks[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2009,V35(9): 1148-1151
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