DocumentCode :
2736407
Title :
Security Assurance with Metamorphic Testing and Genetic Algorithm
Author :
Dong, Guowei ; Wu, Shizhong ; Wang, Guisi ; Guo, Tao ; Huang, Yonggang
Author_Institution :
China Inf. Technol. Security Evaluation Center, Beijing, China
Volume :
3
fYear :
2010
fDate :
Aug. 31 2010-Sept. 3 2010
Firstpage :
397
Lastpage :
401
Abstract :
The correctness of mission-critical software is an important part of information security, but oracle problem and test data generation are constraints for some programs. Although metamorphic testing (MT) is practical for programs with oracle problem and evolutionary testing (ET) is a good application of genetic algorithm (GA) for automatic test data generation, fitness functions used in ET are not always effective at target search. This article provides a method for improving ET´s efficiency by considering metamorphic relation (MR) when fitness function is constructed, and finally some conclusions are presented.
Keywords :
genetic algorithms; program testing; safety-critical software; security of data; evolutionary testing; fitness functions; genetic algorithm; metamorphic relation; metamorphic testing; mission-critical software; oracle problem; security assurance; Conferences; Gallium; Genetic algorithms; Positron emission tomography; Software; Software engineering; Testing; correctness; genetic algorithm; metamorphic testing; security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
Type :
conf
DOI :
10.1109/WI-IAT.2010.101
Filename :
5614395
Link To Document :
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