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基于复杂网络的类间集成测试序列生成方法
引用本文:赵玉丽,王莹,于海,朱志良. 基于复杂网络的类间集成测试序列生成方法[J]. 东北大学学报(自然科学版), 2015, 36(12): 1696-1700. DOI: 10.12068/j.issn.1005-3026.2015.12.006
作者姓名:赵玉丽  王莹  于海  朱志良
作者单位:(东北大学 软件学院, 辽宁 沈阳110819)
基金项目:国家自然科学基金资助项目(61202085,61374178,61402092); 中央高校基本科研业务费专项资金资助项目(N130317001,N130417004).
摘    要:类间集成测试是面向对象软件测试的一个重要部分.将类抽象成节点,类间调用关系抽象成边,建立面向对象软件的复杂网络模型,根据软件网络的结构特征,分析类节点的影响力和复杂性,给出一种软件重要节点的度量方法.在此基础上,将错误被尽早发现的思想应用在类间集成测试排序中,在确保构造的测试桩复杂度较小的前提下,保证重要节点优先测试,得到了一种基于复杂网络的类间集成测试序列生成方法.最后,在开源软件DNS 1.2.0上进行分析和验证,证明了该方法的有效性.

关 键 词:集成测试  复杂网络  节点重要性  测试序列  桩复杂度  

An Inter-Class Integration Test Order Generation Method Based on Complex Networks
ZHAO Yu-li,WANG Ying,YU Hai,ZHU Zhi-liang. An Inter-Class Integration Test Order Generation Method Based on Complex Networks[J]. Journal of Northeastern University(Natural Science), 2015, 36(12): 1696-1700. DOI: 10.12068/j.issn.1005-3026.2015.12.006
Authors:ZHAO Yu-li  WANG Ying  YU Hai  ZHU Zhi-liang
Affiliation:School of Software, Northeastern University, Shenyang 110819, China.
Abstract:Inter-class integration test is a critical part of the object-oriented software testing. Representing a class by a node in a complex network, two classes are connected only if there exist an invoke relationship between them. Then, a complex network model representing object-oriented software could be constructed. According to the characteristics of the complex network structure, the influence and complexity of each class node was analyzed. Further, an approach for measure the significant nodes in the software network were provided. Moreover, the idea that error should be found as soon as possible was applied to the inter-class integration test order, an inter-class integration test order generation method was proposed, in which the test priority of the significant nodes and the lower test stub complexity were ensured. Simulation result on the open source software DNS 1.2.0 indicated the effectiveness of the proposed method.
Keywords:integration test  complex network  node significance  test order  stub complexity  
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