Evolutionary Testing In Component-based Real-time System Construction
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Improving Evolutionary Testing By Flag Removal
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
An Automated Framework for Structural Test-Data Generation
ASE '98 Proceedings of the 13th IEEE international conference on Automated software engineering
VADA: A Transformation-Based System for Variable Dependence Analysis
SCAM '02 Proceedings of the Second IEEE International Workshop on Source Code Analysis and Manipulation
Testing the Results of Static Worst-Case Execution-Time Analysis
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
Structured programming
Evolutionary testing of flag conditions
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
The state problem for evolutionary testing
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Evolutionary functional testing
Computers and Operations Research
Evolutionary testing of autonomous software agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Evolutionary testing of autonomous software agents
Autonomous Agents and Multi-Agent Systems
International Journal of Applied Metaheuristic Computing
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The development and testing of software-based systems is an essential activity for the automotive industry. 50-70 software-based systems with different complexities and developed by various suppliers are installed in today's premium vehicles, communicating with each other via different bus systems. The integration and testing of systems of this complexity is a very challenging task. The aim of testing is to detect faults in the systems under test and to convey confidence in the correct functioning of the systems if no faults are found during comprehensive testing. Faults not found in the different testing phases could have significant consequences that range from customer dissatisfaction to damage of physical property or, in safety relevant areas, even to the endangering of human lives. Therefore, the thorough testing of developed systems is essential. Evolutionary Testing tries to improve the effectiveness and efficiency of the testing process by transforming testing objectives into search problems, and applying evolutionary computation in order to solve them.