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arXiv 1402.2377cs.SE
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基于数据采掘的软件项目团队成员选择实证研究

Empirical Study on Selection of Team Members for Software Projects - Data Mining Approach

Sangita Gupta, Suma. V

摘要:

任何软件行业的一个基本任务是开发客户满意的产品。然而,实现上述业务目标取决于组织中设计的产品质量的深度。因此,高质量的生产取决于过程,而过程又取决于人。IT行业的现有场景要求部署合适的人员,以通过现有流程实现产品的理想质量。本文的目标是确定标准,将用于在工业实践中选择一个软件项目团队的成员,并寻找这些标准和项目成功之间的关系。采用半结构化访谈和定性方法进行数据分析和综合,一套团队建设的标准,确定了从项目经理在行业。研究结果表明,一致使用的一套标准与项目的成功显着相关,与人为因素的标准与软件质量,从而项目的成功呈现出很强的相关性。这些知识使项目经理能够做出正确的人员配置决策,以实现预期的水平。

英文摘要:

One of the essential requisites of any software industry is the development of customer satisfied products. However, accomplishing the aforesaid business objective depends upon the depth of quality of product that is engineered in the organization. Thus, generation of high quality depends upon process, which is in turn depends upon the people. Existing scenario in IT industries demands a requirement for deploying the right personnel for achieving desirable quality in the product through the existing process. The goal of this paper is to identify the criteria which will be used in industrial practice to select members of a software project team, and to look for relationships between these criteria and project success. Using semi-structured interviews and qualitative methods for data analysis and synthesis, a set of team building criteria was identified from project managers in industry. The findings show that the consistent use of the set of criteria correlated significantly with project success, and the criteria related to human factors present strong correlations with software quality and thereby project success. This knowledge enables decision making for project managers in allocation of right personnel to realize desired level.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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