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Fuzzy Logic Based Objective Function Construction for Evolutionary Test Generation Tettamanzi, Andrea G. B. Functional testing fuzzy logic objective function The test case generation problem can be stated as an optimization problem whereby the closeness of test cases to violating the postcondition of a formal specification is maximized, subject to satisfying its precondition. This is usually implemented by constructing an objective function which provides a real-valued estimate of how distant all of the constraints are from being violated, and then trying to minimize it. A problem with this approach is that such objective functions may contain plateaux, which make their minimization hard. We propose a similar approach, grounded on fuzzy logic, which uses, instead of a "distance from violation" objective function, a fuzzy degree of proximity to postcondition violation and produces plateaux-free objective functions by construction. The approach is illustrated with the help of a case study on the functional (black-box) testing of computer programs. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Andrea G. B. Tettamanzi 2009 Is Part Of Dagstuhl Seminar Proceedings, Volume 8351, Evolutionary Test Generation (2009) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.08351.4 urn:nbn:de:0030-drops-20165 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08351.4 eng https://creativecommons.org/licenses/by/4.0/legalcode