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  • 标题:Review on Amalgamated Metrics Estimation Methods for Software Project Management
  • 本地全文:下载
  • 作者:Vishakha Sharma ; Gaurav Garg
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:5
  • 页码:10068
  • DOI:10.15680/IJIRCCE.2017.0505227
  • 出版社:S&S Publications
  • 摘要:Estimating a project’s effort, cost or schedule is a crucial task for software project management.However, project leaders are often overwhelmed when selecting an appropriate estimation method to best match theproject characteristics and context.Amalgamated systems are applications that typically support online users whenconfronted with large sets of choices. Knowledge-based recommenders are a specific variant of these systems thatexploit explicit knowledge models in order to infer matching items based on a set of specific requirements. Thispaper’s contribution lies in its application of knowledge-based amalgamation mechanisms to the domain of softwareproject management and presents a recommender for effort, cost, or time estimation methods. An initial evaluationamong software professionals showed promising results and disclosed helpful hints for further development.
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