1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/141845
Title: Machine learning based approaches to predict defects in graphical user interfaces
Researcher: Uma Maheswari, B.
Guide(s): Valli, S.
Keywords: Algorithm
Graphical
Interfaces
Machine
Predict
University: Anna University
Completed Date: march, 2015
Abstract: Abstract available
Pagination: xxi, 138p.
URI: http://hdl.handle.net/10603/141845
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File12.71 kBAdobe PDFView/Open
02_certificate.pdf348.95 kBAdobe PDFView/Open
03_abstract.pdf6.73 kBAdobe PDFView/Open
04_acknowledgement.pdf4.69 kBAdobe PDFView/Open
05_table of contents.pdf10.03 kBAdobe PDFView/Open
06_list of tables.pdf6.76 kBAdobe PDFView/Open
07_list of figures.pdf8.17 kBAdobe PDFView/Open
08_list of symbols and abbreviations.pdf5.49 kBAdobe PDFView/Open
09_chapter 1.pdf14.81 kBAdobe PDFView/Open
10_chapter 2.pdf96.69 kBAdobe PDFView/Open
11_chapter 3.pdf394.58 kBAdobe PDFView/Open
12_chapter 4.pdf401.9 kBAdobe PDFView/Open
13_chapter 5.pdf145.05 kBAdobe PDFView/Open
14_chapter 6.pdf278 kBAdobe PDFView/Open
15_conclusion.pdf7.36 kBAdobe PDFView/Open
16_references.pdf33.64 kBAdobe PDFView/Open
17_list of publications.pdf4.3 kBAdobe PDFView/Open
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