中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
characterizing failure-causing parameter interactions by adaptive testing

文献类型:会议论文

作者Zhang Zhiqiang ; Zhang Jian
出版日期2011
会议名称20th International Symposium on Software Testing and Analysis, ISSTA 2011
会议日期17-Jul-02
会议地点Toronto, ON, Canada
关键词Computer software selection and evaluation Fault detection Testing
页码331-341
英文摘要Combinatorial testing is a widely used black-box testing technique, which is used to detect failures caused by parameter interactions (we call them faulty interactions). Traditional combinatorial testing techniques provide fault detection, but most of them provide weak fault diagnosis. In this paper, we propose a new fault characterization method called faulty interaction characterization (FIC) and its binary search alternative FIC-BS to locate one failure-causing interaction in a single failing test case. In addition, we provide a tradeoff strategy of locating multiple faulty interactions in one test case. Our methods are based on adaptive black-box testing, in which test cases are generated based on outcomes of previous tests. For locating a t-way faulty interaction, the number of test cases used is at most k (for FIC) or t(⌈log2 k⌉+1)+1 (for FIC-BS), where k is the number of parameters. Simulation experiments show that our method needs smaller number of adaptive test cases than most existing methods for locating randomly-generated faulty interactions. Yet it has stronger or equivalent ability of locating faulty interactions. © 2011 ACM.
收录类别EI
会议主办者Assoc. Comput. Mach., Spec. Interest Group; Softw. Eng. (ACM SIGSOFT)
会议录2011 International Symposium on Software Testing and Analysis, ISSTA 2011 - Proceedings
会议录出版地United States
ISBN号9781450305624
源URL[http://124.16.136.157/handle/311060/14251]  
专题软件研究所_计算机科学国家重点实验室 _会议论文
推荐引用方式
GB/T 7714
Zhang Zhiqiang,Zhang Jian. characterizing failure-causing parameter interactions by adaptive testing[C]. 见:20th International Symposium on Software Testing and Analysis, ISSTA 2011. Toronto, ON, Canada. 17-Jul-02.

入库方式: OAI收割

来源:软件研究所

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