Optimizing Software Bug Triage Using Unsupervised Learning: An Exploration of Clustering HTML Diffs

Simple item page
dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorMäntylä, Martti
dc.contributor.authorHovi, Roope
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorMäntylä, Martti
dc.date.accessioned2019-06-23T15:23:39Z
dc.date.available2019-06-23T15:23:39Z
dc.date.issued2019-06-17
dc.format.extent34
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/39094
dc.identifier.urnURN:NBN:fi:aalto-201906234160
dc.language.isoenen
dc.programmeMaster’s Programme in Computer, Communication and Information Sciencesfi
dc.programme.majorSoftware and Service Engineeringfi
dc.programme.mcodeSCI3043fi
dc.subject.keyworddensity-based clusteringen
dc.subject.keywordDBSCANen
dc.subject.keywordOPTICSen
dc.subject.keywordHTML diffen
dc.subject.keywordstring similarityen
dc.titleOptimizing Software Bug Triage Using Unsupervised Learning: An Exploration of Clustering HTML Diffsen
dc.titleOhjelmointivirheiden lajittelun optimointi ohjaamattoman oppimisen avulla: HTML-eroavaisuuksien ryhmittelyfi
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessno

Files

Collections

[dipl] Perustieteiden korkeakoulu / SCI