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In evolutionary testing of an object-oriented program, the search objective is to find a sequence of method calls that can successfully produce a test object of an interesting state. This is challenging because not all call sequences are feasible; each call of a sequence has to meet the assumption of the called method. The effectiveness of an evolutionary testing thus depends in part on the quality of the so-called fitness function that determines the degree of the fitness of a candidatedoi:10.1109/icst.2008.31 dblp:conf/icst/KimC08 fatcat:eljpsh4hrza3xotqhvqi3o2bka