Transition coverage testing for simulink/stateflow models using messy genetic algorithms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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Landscape analysis of fitness functions is an important topic.This paper makes an attempt to characterize the search problems associated with the fitness functions used in search-based testing, employingthe following measures: diameter, autocorrelation and fitness distance correlation.In a previous work, a general form of objective functions for structuralsearch-based software testing was tailored for state-based testing.A comparison is performed in this paper between the general fitness functions and some problem-specific fitness functions, taking into account their performance with different search methods.