Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/49361
Title: Enhanced ensemble prediction algorithms for detecting faulty modules in object oriented systems using quality metrics
Researcher: Neelamegam C
Guide(s): Punithavalli M
Keywords: object oriented systems
prediction algorithms
Science and humanities
Upload Date: 11-Sep-2015
University: Anna University
Completed Date: 01/08/2014
Abstract: Software quality metrics are methods that quantitatively determine the newlineextent to which software process product or project possess a certain quality newlineattribute They are used to measure software engineering products design source newlinecode etc processes analysis design coding testing etc and professionals newlineefficiency or productivity of an individual designer Techniques and methods newlinethat identify and predict faults using these quality metrics has gained wide newlineacceptance in the past few decades as they have direct impact on the software newlineThe high usage of software system poses high quality demand from users which results in increased software complexity newline newline
Pagination: xvii,196p.
URI: http://hdl.handle.net/10603/49361
Appears in Departments:Faculty of Science and Humanities

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06_chapter 1.pdf318.06 kBAdobe PDFView/Open
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08_chapter 3.pdf519.94 kBAdobe PDFView/Open
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10_chapter 5.pdf1.88 MBAdobe PDFView/Open
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