%0 Journal Article
%T Software Flexibility Prediction Model in Software Architecture Level<br>软件体系结构层次的软件适应性预测模型
%A GAO Hui
%A ZHANG Li
%A LI Lin
%A <br>高晖
%A 张莉
%A 李琳
%J 软件学报
%D 2010
%I 
%X In this paper, the prediction model based on Bayesian is constructed for presenting cause and effect relationships between software structure features and software flexibility by consulting the experiential data and expert knowledge. In addition, the Bayesian networks learning technique is extended to find out the weak causal relationships in the software flexibility prediction model constructing. Finally the method and examples using the prediction model to assess software flexibility in the software architecture level are presented.
%K software flexibility
%K software flexibility prediction
%K software architecture<br>软件适应性
%K 软件适应性预测
%K 软件体系结构
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=CDFB4073B168D3BC7DE02D0F3B55289B&yid=140ECF96957D60B2&vid=659D3B06EBF534A7&iid=9CF7A0430CBB2DFD&sid=8DB0013AE87BD290&eid=93C927FBCA96CB53&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=43