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Ranking Modules for Integrate Testing Based on PageRank Algorithm

Ranking Modules for Integrate Testing Based on PageRank Algorithm

作     者:SUN Qi Krishna Ricky MONIZ YUAN Yuyu 

作者机构:Key Laboratory of Trustworthy Distributed Computing and Service(BUPT)Ministry of EducationBeijing University of Posts and Telecommunications 

出 版 物:《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期:2017年第26卷第5期

页      面:993-998页

核心收录:

学科分类:08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:supported by the National Natural Science Foundation of China(No.91118002) 

主  题:Software testing Integrate testing PageRank algorithm Testing prioritize 

摘      要:The testing industry need to prioritize the limited resources and focus on testing modules whose failure is mostly likely to cause *** paper discusses a method that can rank modules in a software package for integrate testing using the PageR ank *** this algorithm,a sequences of random walks iteratively can find a high likelihood of encountering a node,which is interpreted as it being an important performance *** experiment result prove that the proposed method actually can be used to prioritize testing of specific modules when testing resource are scarce.

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