HYDRA : Massively Compositional Model for Cross-Project Defect Prediction

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dc.contributor.authorXia, Xin
dc.contributor.authorLo, David
dc.contributor.authorJialin Pan, Sinno
dc.contributor.authorNagappan, Nachiappan
dc.contributor.authorWang, Xinyu
dc.date.accessioned2022-10-26T09:26:36Z
dc.date.available2022-10-26T09:26:36Z
dc.date.issued2016
dc.description977-998 p. ; 822ko.en_US
dc.identifier.urihttp://repository.usthb.dz//xmlui/handle/123456789/9256
dc.language.isoenen_US
dc.publisherInstitute of electrical and electronics engineersen_US
dc.relation.ispartofseriesInstitute of electrical and electronics engineers;vol.42-2016
dc.subjectHYDRA : prédicteur des défauts inter-projetsen_US
dc.subjectAlgorithme génétiqueen_US
dc.subjectPrédiction des défauts inter-projetsen_US
dc.subjectApprentissage par transferten_US
dc.subjectApprentissage d’ensembleen_US
dc.titleHYDRA : Massively Compositional Model for Cross-Project Defect Predictionen_US
dc.typeArticleen_US

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