Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/170943
Title: Knowledge factor Identification using Quick Reduct Rough set theory in software development processes
Researcher: R. RAMESHKUMAR
Guide(s): C. JOTHI VENKATESWARAN
Keywords: 
University: Bharath University
Completed Date: 
Abstract: quotThe knowledge identification is a challenging process in the business environment because the newlinetype of application, identification process is unique as per the environment, people and newlineapplications. The knowledge processing system leads the power of the organization in the world newlinebusiness race. All the industries are adopting knowledge management system for their human newlinecapital .The level of interaction occurs among the employees in the industry increase the newlineknowledge creation, identification, representation and utilization. The knowledge discovery data newlineprocess complexity various depend on the domain, nature of the applications, organizational newlinesystem and many more organizational policies. newline newlineIn the software development industries tasks are optimized based on the process flow and newlinein-house process of IT organizations. The process matrices are supported to increase the newlineefficiency of the project in the development scenario. The process functionalities are determined newlineas per the development of code and the available developers. The software developmental newlineactivities and its functional process of each developers and their effective error- less production newlineis consider for the optimization process and contribution of their knowledge for software newlinedevelopment. The huge data set which is collected in the process functionalities are pre newlineprocessed for the evaluation of developer s performance using rough set associative equivalence newlineapproach to determine the shared knowledge of developers and influence factors of the newlinedevelopment approach. The process activities are depends on many variables such as the domain, newlinephase and the functional process. newline newlineThe organizational approaches are change from information processing to the knowledge newlineprocessing approach which could be the asset of the organization from the human capital and newlinehigh powered for the business success. The success measure based on the influence knowledge newlinefactor in the software industry but the identification of influencing knowledge factor is a newlinechallenging task. newline newlineThe softwar
Pagination: 
URI: http://hdl.handle.net/10603/170943
Appears in Departments:Department of Computer Application

Files in This Item:
File Description SizeFormat 
final disertation all updated.pdfAttached File1.45 MBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.