White-box test case generation based on improved genetic algorithm

Peng Wang, Xiao Juan Hu, Ning Jia Qiu, Hua Min Yang

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Some intermittent or transient failures are particularly difficult to diagnose in highly complex and interconnected systems. This paper focuses on the use of genetic algorithms for automatically generating software test cases. In particular, this research extends a newly improved genetic algorithm, which adopts back propagation algorithm for local fine-tuning in the final link, and speeds up access to the best population. The various approaches offer opportunities for performance improvements that make these techniques more scalable for realistic applications.

Original languageEnglish
Pages (from-to)489-495
Number of pages7
JournalLecture Notes in Electrical Engineering
Volume125 LNEE
Issue numberVOL. 2
StatePublished - 2012
Externally publishedYes
Event2009 11th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2009 - Sydney, Australia
Duration: 16 Dec 200918 Dec 2009


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