Automated Software Test Data Generation
IEEE Transactions on Software Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Suitability of Evolutionary Algorithms for Evolutionary Testing
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
Fitness Function Design To Improve Evolutionary Structural Testing
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Using genetic algorithms for test case generation in path testing
ATS '00 Proceedings of the 9th Asian Test Symposium
Genetic algorithms for dynamic test data generation
ASE '97 Proceedings of the 12th international conference on Automated software engineering (formerly: KBSE)
Generating Test Data for Branch Coverage
ASE '00 Proceedings of the 15th IEEE international conference on Automated software engineering
Breeding Software Test Cases with Genetic Algorithms
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
Software Engineering (7th Edition)
Software Engineering (7th Edition)
Data Generation for Path Testing
Software Quality Control
Optimizing Testing Efficiency with Error-Prone Path Identification and Genetic Algorithms
ASWEC '04 Proceedings of the 2004 Australian Software Engineering Conference
Proceedings of the 19th IEEE international conference on Automated software engineering
Using genetic algorithms to generate test plans for functionality testing
Proceedings of the 44th annual Southeast regional conference
Data Structures
An Immune Genetic Algorithm for Software Test Data Generation
HIS '07 Proceedings of the 7th International Conference on Hybrid Intelligent Systems
Efficient Software Test Case Generation Using Genetic Algorithm Based Graph Theory
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Foundations of Software Testing
Foundations of Software Testing
Investigating the performance of genetic algorithm-based software test case generation
HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
Effective black-box testing with genetic algorithms
HVC'05 Proceedings of the First Haifa international conference on Hardware and Software Verification and Testing
Test sequence optimisation: an intelligent approach via cuckoo search
International Journal of Bio-Inspired Computation
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Software testing is meant to increase confidence in the correctness of software. Test data generation is one of the key issues in software testing. A properly generated test suite may not only locate the errors in a software system, but also help in reducing the high cost associated with software testing. It is often desired that test data in the form of test sequences within a test suite can be automatically generated to achieve the required test coverage. This paper proposes Genetic Algorithm (GA) to test data generation for optimising the software testing.