Data-mining the Ubuntu Linux Distribution for bug analysis and resolution

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dc.contributor.advisorStewart, Kateen
dc.contributor.advisorGhosh, Joydeepen
dc.creatorArges, Christopher Johnen
dc.date.accessioned2012-11-27T18:29:45Zen
dc.date.accessioned2017-05-11T22:30:06Z
dc.date.available2012-11-27T18:29:45Zen
dc.date.available2017-05-11T22:30:06Z
dc.date.issued2012-08en
dc.date.submittedAugust 2012en
dc.date.updated2012-11-27T18:29:55Zen
dc.descriptiontexten
dc.description.abstractThe Ubuntu Linux Distribution represents a massive investment of time and human effort to produce a reliable computing experience for users. To accomplish these goals, software bugs must be tracked and fixed. However, as the number of users increase and bug reports grow advanced tools such as data mining must be used to increase the effectiveness of all contributors to the project. Thus, this report involved collecting a large amount of bug reports into a database and calculating relevant statistics. Because of the diversity and quantity of bug reports, contributors must find which bugs are most relevant and important to work on. One study in this report created an automatic way to determine who is best fit to solve a particular bug by using classification techniques. In addition, this report explores how to initially classify if a bug report will be eventually marked invalid or not.en
dc.description.departmentElectrical and Computer Engineeringen
dc.format.mimetypeapplication/pdfen
dc.identifier.slug2152/ETD-UT-2012-08-6196en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2012-08-6196en
dc.language.isoengen
dc.subjectSoftware engineeringen
dc.subjectData miningen
dc.subjectDefectsen
dc.subjectBugen
dc.subjectLinuxen
dc.subjectOpen sourceen
dc.titleData-mining the Ubuntu Linux Distribution for bug analysis and resolutionen
dc.type.genrethesisen

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