Software development defect report classification using deep learning methods

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dc.contributorAalto Universityen
dc.contributorAalto-yliopistofi
dc.contributor.advisorMalo, Pekka
dc.contributor.advisorKuosmanen, Timo
dc.contributor.advisorSuvanen, Jyri
dc.contributor.authorRistola, Timo
dc.contributor.departmentTieto- ja palvelujohtamisen laitosfi
dc.contributor.schoolKauppakorkeakoulufi
dc.contributor.schoolSchool of Businessen
dc.date.accessioned2019-06-23T16:02:37Z
dc.date.available2019-06-23T16:02:37Z
dc.date.issued2019
dc.format.extent63
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/39124
dc.identifier.urnURN:NBN:fi:aalto-201906234190
dc.language.isoenen
dc.locationP1 Ifi
dc.programmeInformation and Service Management (ISM)en
dc.subject.keywordsoftware developmenten
dc.subject.keywordclassificationen
dc.subject.keyworddeep learningen
dc.subject.keyworddefecten
dc.titleSoftware development defect report classification using deep learning methodsen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotMaisterin opinnäytefi
local.aalto.electroniconlyyes
local.aalto.openaccessno
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