%0 Journal Article
%T Research on data sample combination of Fuzzing technology<br>Fuzzing技术的样本数据组合研究*
%A WANG Hong-chuan
%A WU Zhi-yong
%A SUN Le-chang
%A ZHANG Min
%A LIU Jing-jua
%A <br>王红川
%A 吴志勇
%A 孙乐昌
%A 张旻
%A 刘京菊a
%J 计算机应用研究
%D 2010
%I 
%X This paper proposed the Fuzzing technology based on data sample combination and abstracted a mathematic model to solve DSCP. To solve DSCP problem, proposed DGA. The practical experiment results show the effectiveness of DGA. The simulated experiments show that the proposed DGA works more efficiently than the greedy algorithm and simple genetic algorithm.
%K genetic algorithm
%K data sample combination
%K test cases
%K code coverage<br>遗传算法
%K 样本数据组合
%K 测试用例
%K 代码覆盖
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EDC750F55322830B8B19613AAD178F64&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=5D311CA918CA9A03&sid=653CB0F41D48E7F1&eid=2CC2F103520CFD0C&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15