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
Title: A Novel Software Defect Prediction System with Software Defect Density and Quality Assessment Using Combination of Modified Deep Learning Techniques with Fuzzy Rules
Researcher: Prasad V S
Guide(s): K. Sasikala
Keywords: Computer Science
Computer Science Theory and Methods
Engineering and Technology
University: Vinayaka Missions Research Foundation, Salem
Completed Date: 2023
Abstract: newline
Pagination: 
URI: http://hdl.handle.net/10603/537893
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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