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arXiv 1402.2376cs.SE
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基于分类的软件开发中人的工作能力预测

Prediction of Human Performance Capability during Software Development using Classification

Sangita Gupta, Suma V

摘要:

人力资本的质量是软件企业在知识经济时代保持竞争优势的关键。软件公司将优秀的人才视为业务优势。他们越来越认识到有效的人才和业务成功之间的关键联系。然而,软件公司遭受高流动率往往很难招募到合适的人才。迫切需要开发一种人员选拔机制,以找到最适合其软件项目的人才。数据采掘技术保证了从历史项目中探索信息,项目经理可以根据这些信息做出生产高质量软件的决策。本研究的目的是填补空白,开发一个数据采掘框架的基础上,决策树和关联规则重新集中在人员选拔标准。以一家软件公司为例进行了实证研究,以支持他们对项目成员的聘用决策。结果表明,有必要重新关注质量目标的选择标准。通过整合软件项目数据库中的知识和作者的研究技术,从数据采掘模型中获得的模式识别出更好的选择标准。

英文摘要:

The quality of human capital is crucial for software companies to maintain competitive advantages in knowledge economy era. Software companies recognize superior talent as a business advantage. They increasingly recognize the critical linkage between effective talent and business success. However, software companies suffering from high turnover rates often find it hard to recruit the right talents. There is an urgent need to develop a personnel selection mechanism to find the talents who are the most suitable for their software projects. Data mining techniques assures exploring the information from the historical projects depending on which the project manager can make decisions for producing high quality software. This study aims to fill the gap by developing a data mining framework based on decision tree and association rules to refocus on criteria for personnel selection. An empirical study was conducted in a software company to support their hiring decision for project members. The results demonstrated that there is a need to refocus on selection criteria for quality objectives. Better selection criteria was identified by patterns obtained from data mining models by integrating knowledge from software project database and authors research techniques.

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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