SUN Qi, Krishna Ricky MONIZ, YUAN Yuyu. Ranking Modules for Integrate Testing Based on PageRank Algorithm[J]. Chinese Journal of Electronics, 2017, 26(5): 993-998. doi: 10.1049/cje.2017.03.015
Citation: SUN Qi, Krishna Ricky MONIZ, YUAN Yuyu. Ranking Modules for Integrate Testing Based on PageRank Algorithm[J]. Chinese Journal of Electronics, 2017, 26(5): 993-998. doi: 10.1049/cje.2017.03.015

Ranking Modules for Integrate Testing Based on PageRank Algorithm

doi: 10.1049/cje.2017.03.015
Funds:  This work is supported by the National Natural Science Foundation of China (No.91118002).
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  • Corresponding author: YUAN Yuyu (corresponding author) is a professor of Beijing University of Posts and Telecommunications, Beijing, China. Her research interests include software quality, trustworthy software and software testing. (Email:yuanyuyu@bupt.edu.cn)
  • Received Date: 2016-11-09
  • Rev Recd Date: 2017-01-22
  • Publish Date: 2017-09-10
  • The testing industry need to prioritize the limited resources and focus on testing modules whose failure is mostly likely to cause faults. This paper discusses a method that can rank modules in a software package for integrate testing using the PageRank algorithm. In 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 resource. An 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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