%0 Journal Article
%T Application of modified differential evolution in test data generation<br>改进的差分演化算法在测试数据生成中的应用
%A HUANG Xiao-cheng
%A WANG Xi-wu
%A CHANG Dong-sheng
%A HE Gang
%A <br>黄小城
%A 王希武
%A 常东升
%A 何刚
%J 计算机应用
%D 2009
%I 
%X A kind of software test data automated generation method based on Differential Evolution (DE) algorithm was proposed to solve the problems of the existing method, such as too complex test data generation and the difficultly setting parameters in the algorithms, etc. This method ameliorated the operators of DE algorithm to avoid the discrete test data generation based on DE algorithm. The feasibility and validity of this method was validated through specific experiments.
%K 软件测试
%K 测试数据生成
%K 差分演化
%K 函数极小化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=EB7FACD4373D1758C3D8E12CBE6D3D4E&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=72C9FC6259F90AE2&eid=7820732DED23DCED&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=11