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  • 标题:Software Project Planning and Resource Allocation Using Ant Colony Optimization with Uncertainty Handling
  • 本地全文:下载
  • 作者:Vivek Kurien ; Rashmi S Nair
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 期号:ICIASET
  • 页码:355
  • 出版社:S&S Publications
  • 摘要:In software engineering field, developing software tools is challenging and important. In software projecthumans are important. Human resources are mainly needed. In software project, planning is important. Since softwareproject is much related to human resource, the human resource allocation is the important problem. A software projectplanning tool must consider the project planning as well as human resource allocation problem. Also the uncertainty factorscan occur. In current approach it develops an event based scheduler and an ant colony optimization. The proposed systemrepresents a plan by task list and employee allocation matrix. In the EBS, the beginning time of the project, the time whenresources are released from finished tasks, and the time when employees join or leave the project are regarded as events.For planning and employee allocation ACO is used. In real world projects the uncertain events can occur. Previous modelsare not much considering about uncertainty. The uncertainty can be considered as an event in event based scheduler. Theexisting event based scheduler is modified, to include the uncertain events such as unexpected absence of employee,termination of employee. Such uncertain can be handled in the current system.
  • 关键词:Uncertainty handling; Software project planning; Event Based Scheduler; Resource allocation.
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