1. Shodhganga@INFLIBNET
  2. Periyar University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/544960
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-02-12T11:58:01Z-
dc.date.available2024-02-12T11:58:01Z-
dc.identifier.urihttp://hdl.handle.net/10603/544960-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA novel framework for an efficient software defect prediction to enhance the quality of software using soft computing techniques
dc.title.alternative
dc.creator.researcherM Thangavel
dc.subject.keywordA novel framework for an efficient
dc.subject.keywordsoftware defect prediction to enhance the quality
dc.subject.keywordsoftware using soft computing techniques
dc.description.note4960
dc.contributor.guideR Pugazendi
dc.publisher.placeSalem
dc.publisher.universityPeriyar University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2011
dc.date.completed2023
dc.date.awarded2024
dc.format.dimensions92mm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
10_annexure.pdfAttached File3.16 MBAdobe PDFView/Open
1_title.pdf68.49 kBAdobe PDFView/Open
2_preliminary pages.pdf1.57 MBAdobe PDFView/Open
3_content.pdf109.51 kBAdobe PDFView/Open
4_abstract.pdf74.92 kBAdobe PDFView/Open
5_chapter 1.pdf292.01 kBAdobe PDFView/Open
6_chapter 2.pdf135.91 kBAdobe PDFView/Open
7_chapter 3.pdf308.31 kBAdobe PDFView/Open
80_recommendation.pdf91.52 kBAdobe PDFView/Open
8_chapter 4.pdf201.03 kBAdobe PDFView/Open
9_chapter 5 to 7.pdf808.46 kBAdobe PDFView/Open
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