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Strongly-typed genetic programming and purity analysis: input domain reduction for evolutionary testing problems

dc.contributor.authorRibeiro, José Carlos Bregieiro
dc.contributor.authorZenha-Rela, Mário Alberto
dc.contributor.authorFernandéz de Vega, Francisco
dc.date.accessioned2009-08-20T08:00:58Z
dc.date.available2009-08-20T08:00:58Z
dc.date.issued2008-07
dc.descriptionTexto integral não está disponível.pt
dc.description.abstractSearch-based test case generation for object-oriented software is hindered by the size of the search space, which encompasses the arguments to the implicit and explicit parameters of the test object's public methods. The performance of this type of search problems can be enhanced by the definition of adequate Input Domain Reduction strategies. The focus of our on-going work is on employing evolutionary algorithms for generating test data for the structural unit-testing of Java programs. Test cases are represented and evolved using the Strongly-Typed Genetic Programming paradigm; Purity Analysis is particularly useful in this situation because it provides a means to automatically identify and remove Function Set entries that do not contribute to the definition of interesting test scenarios.pt
dc.identifier.citationRIBEIRO, J.; ZENHA-RELA, M. A.; FERNANDÉZ DE VEGA, F. - Strongly-typed genetic programming and purity analysis: input domain reduction for evolutionary testing problems. In: Proceedings of the 2008 GECCO Conference Companion on Genetic and Evolutionary Computation. New York: ACM, 2008. pp. 1783-1784.pt
dc.identifier.isbn978-1-60558-131-6
dc.identifier.urihttp://hdl.handle.net/10400.8/129
dc.language.isoengpt
dc.publisherACMpt
dc.subjectInput domain reductionpt
dc.subjectSearch-based test case generationpt
dc.subjectStrongly-typed genetic programmingpt
dc.titleStrongly-typed genetic programming and purity analysis: input domain reduction for evolutionary testing problemspt
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAtlantapt
oaire.citation.endPage1784pt
oaire.citation.startPage1783pt
oaire.citation.titleGECCO Conference on Genetic and Evolutionary Computationpt
person.familyNameRibeiro
person.givenNameJosé
person.identifier662638
person.identifier.ciencia-id0C1B-5E3F-6830
person.identifier.orcid0000-0003-3019-1330
person.identifier.scopus-author-id55947747200
rcaap.rightsrestrictedAccess
rcaap.typeconferenceObjectpt
relation.isAuthorOfPublication4ad743c6-5db7-4208-be72-c182c7b0f8ef
relation.isAuthorOfPublication.latestForDiscovery4ad743c6-5db7-4208-be72-c182c7b0f8ef

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