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  • 标题:Optimal Selection of PERT for large complex and distributed projects
  • 作者:K Koteswara Rao ; T.V.Madhusudhana Rao ; P.Veerabhadra Rao
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2008
  • 卷号:8
  • 期号:6
  • 页码:7-17
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:The project management is the discipline of defining and achieving the targets while optimizing the use of resources over the course duration of a project. Project managers are always in tension to keep the budget and schedule, to provide accurate forecast of efforts and the other parameters. Project manager is responsible to see the project can be completed in stipulated time and does not suffer from cost, time overruns. Project development can be controlled by the tools and techniques used to manage the development effort. Large scale software development necessitates an automated process for tracking the progress of the software project. This paper explains about a technique for tracking the progress of the software project being built. The methodology was developed based on extracting information for crashing a project through best criteria. The project manager periodically documents the team status reports. The technique was implemented in the form of a prototype tool. The prototype tool is also briefly described from the project development standpoint. The template object would facilitate configuration of any project and generates an optimal PERT specifications by applying fuzzy logic and also reconfigure dynamically based on accepted changes. A prototype of this object-oriented template has a potential to propose optimality of large complex, multilayered and distributed projects. The team status reports contain relevant information about the project and its status in terms of its progress in the development cycle. This template takes the input in terms of total cost, manpower and function points for crashing a project. A technique for selecting an optimal PERT chart was developed by using fuzzy logic.
  • 关键词:Optimal Selection; PERT; large complex; distributed project
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