Generating Random Telecomand Test Data Using Genetic Algorithms

Generating useful test data is one of the big challenges in automatic software testing. While random test data generation is the easiest method, the test inputs generated by it may fail to exercise the software under test properly if the internal structure of the data is unknown to the generator and at the same time relevant for the decisions taken in the code. Handling of telecommands in space onboard software is one example where this is the case. We investigate a method of generating test data for these cases using genetic algorithms.