Input Domain Reduction Through Irrelevant Variable Removal and Its Effect on Local, Global and Hybrid Search-Based Structural Test Data Generation
Search-based test data generation reformulates testing goals as fitness functions so that test input generation can be automated by some chosen search-based optimization algorithm. The optimization algorithm searches the space of potential inputs, seeking those that are 'Fit for purpose', guided by the fitness function. The search space of potential inputs can be very large, even for very small systems under test. Its size is, of course, a key determining factor affecting the performance of any search-based approach. However, despite the large volume of work on search-based software testing, the literature contains little that concerns the performance impact of search space reduction.