Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/141845
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DC FieldValueLanguage
dc.coverage.spatialInformation and Communication Engineering
dc.date.accessioned2017-03-24T11:22:20Z-
dc.date.available2017-03-24T11:22:20Z-
dc.identifier.urihttp://hdl.handle.net/10603/141845-
dc.description.abstractAbstract available
dc.format.extentxxi, 138p.
dc.languageEnglish
dc.relation125-137
dc.rightsuniversity
dc.titleMachine learning based approaches to predict defects in graphical user interfaces
dc.title.alternative
dc.creator.researcherUma Maheswari, B.
dc.subject.keywordAlgorithm
dc.subject.keywordGraphical
dc.subject.keywordInterfaces
dc.subject.keywordMachine
dc.subject.keywordPredict
dc.description.noteData not available
dc.contributor.guideValli, S.
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completedmarch, 2015
dc.date.awardedn.d.
dc.format.dimensions30cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File12.71 kBAdobe PDFView/Open
02_certificate.pdf348.95 kBAdobe PDFView/Open
03_abstract.pdf6.73 kBAdobe PDFView/Open
04_acknowledgement.pdf4.69 kBAdobe PDFView/Open
05_table of contents.pdf10.03 kBAdobe PDFView/Open
06_list of tables.pdf6.76 kBAdobe PDFView/Open
07_list of figures.pdf8.17 kBAdobe PDFView/Open
08_list of symbols and abbreviations.pdf5.49 kBAdobe PDFView/Open
09_chapter 1.pdf14.81 kBAdobe PDFView/Open
10_chapter 2.pdf96.69 kBAdobe PDFView/Open
11_chapter 3.pdf394.58 kBAdobe PDFView/Open
12_chapter 4.pdf401.9 kBAdobe PDFView/Open
13_chapter 5.pdf145.05 kBAdobe PDFView/Open
14_chapter 6.pdf278 kBAdobe PDFView/Open
15_conclusion.pdf7.36 kBAdobe PDFView/Open
16_references.pdf33.64 kBAdobe PDFView/Open
17_list of publications.pdf4.3 kBAdobe PDFView/Open


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