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eCrash: An Empirical Study on the Apache Ant Project

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorNogueira, Ana Filipa
dc.contributor.authorRibeiro, José Carlos Bregieiro
dc.contributor.authorde Vega, Francisco Fernández
dc.contributor.authorZenha-Rela, Mário Alberto
dc.date.accessioned2026-03-04T17:47:04Z
dc.date.available2026-03-04T17:47:04Z
dc.date.issued2013
dc.description.abstractThe eCrash tool employs Strongly-Typed Genetic Programming to automate the generation of test data for the structural unit testing of Object-Oriented Java programs. This paper depicts the results attained by utilising eCrash to generate test data for the classes of the Apache Ant project.eng
dc.identifier.citationNogueira, A.F., Ribeiro, J.C.B., de Vega, F.F., Zenha-Rela, M.A. (2013). eCrash: An Empirical Study on the Apache Ant Project. In: Ruhe, G., Zhang, Y. (eds) Search Based Software Engineering. SSBSE 2013. Lecture Notes in Computer Science, vol 8084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39742-4_25
dc.identifier.doi10.1007/978-3-642-39742-4_25
dc.identifier.isbn9783642397417
dc.identifier.isbn9783642397424
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10400.8/15781
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-642-39742-4_25
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofSearch Based Software Engineering
dc.rights.uriN/A
dc.subjectEvolutionary Testing
dc.subjectSearch-Based Test Data Generation
dc.subjectStructural Coverage
dc.titleeCrash: An Empirical Study on the Apache Ant Projecteng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2013
oaire.citation.endPage287
oaire.citation.startPage282
oaire.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRibeiro
person.givenNameJosé
person.identifier662638
person.identifier.ciencia-id0C1B-5E3F-6830
person.identifier.orcid0000-0003-3019-1330
person.identifier.scopus-author-id55947747200
relation.isAuthorOfPublication4ad743c6-5db7-4208-be72-c182c7b0f8ef
relation.isAuthorOfPublication.latestForDiscovery4ad743c6-5db7-4208-be72-c182c7b0f8ef

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