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  • Bayer, Wendy M.
     
     Subjects
     
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  • Computer software -- Reliability
     
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  • Program Development.
     
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  • Digital computer simulation
     
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  • Organizational effectiveness
     
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  • Research -- Statistical methods -- Data processing
     
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  • MSEM Thesis.
     
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  •  Utilizing a defect d...
     
     
     
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    Utilizing a defect detection model for software development as a decision support tool for management / Wendy M. Bayer.
    by Bayer, Wendy M.
    Subjects
  • Computer software -- Reliability
  •  
  • Program Development.
  •  
  • Digital computer simulation
  •  
  • Organizational effectiveness
  •  
  • Research -- Statistical methods -- Data processing
  •  
  • MSEM Thesis.
  • Description: 
    82 leaves : ill. ; 29 cm.
    Contents: 
    Advisor: Dr. Paul Hudec.
    Committee Members: Gene Wright, Dr. Jeffrey Blessing.
    Introduction -- Software reliability engineering -- Applying Kandler's Model -- Data analysis -- Summary -- Management perspective -- Recommendations and conclusions -- Glossary -- Bibliography -- Appendix A) Data for determining KLOC -- Appendix B) Data for calculations of defects detected per phase.
    To be a top performer in its sector, an organization needs the right kind of information, on a regular basis, to make the right decisions. Organizations use information to become more efficient and to produce better-quality products. Measurement facilitates and accelerates organizational learning and supports corporate adaptation within the marketplace. Measurement provides a structure for learning from each project, whether or not it was a good experience. Measurement also helps an organization understand the gaps between how it is performing and the performance levels demanded by the constraints. In effect, measurement information becomes a competitive resource, and an effective measurement process becomes an organizational discriminator. A well-designed measurement system collects the data that is necessary for data mining. The data that is found at the operational level of an organization. It feeds the data analysis systems, typically information systems (IS), and data mining processes that allow organizations to gain knowledge about themselves, their business environment, products, etc. It is an effective tool for decision support, and it leads to business intelligence (BI). It is business intelligence and the use of information technology that give organizations a competitive advantage, by modeling outcomes and discovering patterns in data. This thesis aims to prove that predictive models such as Kandler's defect prediction model for software development contribute to the overall measurement process and business intelligence of an organization, an ultimately contribute to decision support and strategic planning.
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    Walter Schroeder LibraryMaster's ThesesAC805 .B384 2005AvailableAdd Copy to MyList

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