Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/49361
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dc.coverage.spatialEnhanced ensemble prediction algorithms for detecting faulty modules in object oriented systems using quality metricsen_US
dc.date.accessioned2015-09-11T04:46:28Z-
dc.date.available2015-09-11T04:46:28Z-
dc.date.issued2015-09-11-
dc.identifier.urihttp://hdl.handle.net/10603/49361-
dc.description.abstractSoftware quality metrics are methods that quantitatively determine the newlineextent to which software process product or project possess a certain quality newlineattribute They are used to measure software engineering products design source newlinecode etc processes analysis design coding testing etc and professionals newlineefficiency or productivity of an individual designer Techniques and methods newlinethat identify and predict faults using these quality metrics has gained wide newlineacceptance in the past few decades as they have direct impact on the software newlineThe high usage of software system poses high quality demand from users which results in increased software complexity newline newlineen_US
dc.format.extentxvii,196p.en_US
dc.languageEnglishen_US
dc.relationp.174-195en_US
dc.rightsuniversityen_US
dc.titleEnhanced ensemble prediction algorithms for detecting faulty modules in object oriented systems using quality metricsen_US
dc.title.alternativeen_US
dc.creator.researcherNeelamegam Cen_US
dc.subject.keywordobject oriented systemsen_US
dc.subject.keywordprediction algorithmsen_US
dc.subject.keywordScience and humanitiesen_US
dc.description.noteReference p.174-195en_US
dc.contributor.guidePunithavalli Men_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Science and Humanitiesen_US
dc.date.registeredn.d.en_US
dc.date.completed01/08/2014en_US
dc.date.awarded30/08/2014en_US
dc.format.dimensions23cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Science and Humanities

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01_title.pdfAttached File43.12 kBAdobe PDFView/Open
02_certificate.pdf13.63 kBAdobe PDFView/Open
03_abstract.pdf15.38 kBAdobe PDFView/Open
05_contents.pdf59.06 kBAdobe PDFView/Open
06_chapter 1.pdf318.06 kBAdobe PDFView/Open
07_chapter 2.pdf128.54 kBAdobe PDFView/Open
08_chapter 3.pdf519.94 kBAdobe PDFView/Open
09_chapter 4.pdf772.82 kBAdobe PDFView/Open
10_chapter 5.pdf1.88 MBAdobe PDFView/Open
11_chapter 6.pdf19.64 kBAdobe PDFView/Open
12_references.pdf1.09 MBAdobe PDFView/Open
13_publications.pdf14.82 kBAdobe PDFView/Open


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