1. Shodhganga@INFLIBNET
  2. Vinayaka Missions Research Foundation
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/537893
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-01-08T07:17:45Z-
dc.date.available2024-01-08T07:17:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/537893-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Novel Software Defect Prediction System with Software Defect Density and Quality Assessment Using Combination of Modified Deep Learning Techniques with Fuzzy Rules
dc.title.alternative
dc.creator.researcherPrasad V S
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideK. Sasikala
dc.publisher.placeSalem
dc.publisher.universityVinayaka Missions Research Foundation, Salem
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File76.82 kBAdobe PDFView/Open
02_prelim.pdf734.92 kBAdobe PDFView/Open
05_table ofcontents.pdf55.86 kBAdobe PDFView/Open
07_chapter 1.pdf331.19 kBAdobe PDFView/Open
08_chapter 2.pdf228.23 kBAdobe PDFView/Open
09_chapter 3.pdf717.79 kBAdobe PDFView/Open
10_chapter 4.pdf268.76 kBAdobe PDFView/Open
11_chapter 5.pdf412.22 kBAdobe PDFView/Open
12_chapter 6.pdf1.24 MBAdobe PDFView/Open
13_chapter 7.pdf97.82 kBAdobe PDFView/Open
80_recommendation.pdf172.85 kBAdobe PDFView/Open
annexures.pdf1.66 MBAdobe PDFView/Open
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