An evaluation of differential evolution in software test data generation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evolutionary generation of test data for many paths coverage based on grouping
Journal of Systems and Software
Generating test data for both paths coverage and faults detection using genetic algorithms
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Optimised realistic test input generation using web services
SSBSE'12 Proceedings of the 4th international conference on Search Based Software Engineering
Dynamic stopping criteria for search-based test data generation for path testing
Information and Software Technology
Generating test data for both path coverage and fault detection using genetic algorithms
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Some approaches to Model-Based Testing focus on test case generation from assertions (operation pre- and post- conditions) and invariants, e.g., written in the Object Constraint Language. In such a setting, assertions must be val- idated. Validation ...