J4 ›› 2013, Vol. 48 ›› Issue (7): 79-84.

• Articles • Previous Articles     Next Articles

Research on multiple population genetic algorithm in security software fuzzy test

DU Xiao-jun, LIN Bo-gang, LIN Zhi-yuan, LI Ying   

  1. College of Mathematics and Computer Science, Key Lab of Information Security of
    Network Systems,Fuzhou University, Fuzhou 350108, Fujian, China
  • Received:2013-06-17 Published:2013-12-03

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Abstract:

The genetic algorithm was combined with the fuzzy test technique, block of code coverage of a test case as a part of a fitness assessment to lead to the producing of abnormal test data. Test sample is assigned to different populations across to its type of vulnerabilities. It Improves test efficiency and provides a good basis for improving software security.

Key words: fuzzy test; multiple population genetic algorithm; code coverage; effect comparison

CLC Number: 

  • TP393
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