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