1. Shodhganga@INFLIBNET
  2. Jain University
  3. Department of Computer Science Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/92371
Title: An enhanced approach for prediction of software project success using fuzzy cmeans genetic algorithm and random forest in software industry
Researcher: Pushpavathi T P
Guide(s): Ramaswamy V
Keywords: Genetic Algorithm
Software Engineering
University: Jain University
Completed Date: 16/01/2016
Abstract: Success of any software organization depends on total customer satisfaction which in turn depends on the development of quality software Software Engineering methodology enables the production of quality software newline newline
Pagination: 145 p.
URI: http://hdl.handle.net/10603/92371
Appears in Departments:Department of Computer Science Engineering

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01_title pages.pdfAttached File11.51 kBAdobe PDFView/Open
02_certificate.pdf294.51 kBAdobe PDFView/Open
03_declaration.pdf415.5 kBAdobe PDFView/Open
04_acknowledgement.pdf12.89 kBAdobe PDFView/Open
05_abstract.pdf13.36 kBAdobe PDFView/Open
06_contents.pdf22.52 kBAdobe PDFView/Open
07_chapter 1.pdf90.91 kBAdobe PDFView/Open
08_chapter 2.pdf115.66 kBAdobe PDFView/Open
09_chapter 3.pdf1.23 MBAdobe PDFView/Open
10_chapter 4.pdf900.8 kBAdobe PDFView/Open
11_chapter 5.pdf973.46 kBAdobe PDFView/Open
12_chapter 6.pdf869.52 kBAdobe PDFView/Open
13_chapter 7.pdf44.5 kBAdobe PDFView/Open
14_bibliography.pdf108.98 kBAdobe PDFView/Open
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