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A Model Based on Information Entropy to Measure Developer Turnover Risk on Software Project

机译:基于信息熵的软件项目开发人员流失风险度量模型

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Risk can conduce to failure of software project, and make a loss for the enterprise. It is a focus topic for software engineering researchers. Developer turnover risk is a great risk at the process of software project, yet, few scholars pay attention to it. We can use information entropy to measure effectively the uniformity of each subsystem. In this paper, we provided a quantitative measure model based on information entropy to measure developer turnover risk on software project. The more uniformly developers influence the project, the smaller the risk is. Otherwise, the core developer turnover will make a huge fluctuation to the project. We not only have analyzed the model rationality, but have provided a model case. And the data required in the model can be got in the company. The model is scientific and reasonable, which has been indicated in practice, and can be used as basis to control the turnover risk.
机译:风险可以融入软件项目的失败,并为企业造成损失。它是软件工程研究人员的焦点主题。开发人员营业额风险是软件项目过程的巨大风险,但很少有学者注意到这一点。我们可以使用信息熵有效测量每个子系统的均匀性。在本文中,我们提供了一种基于信息熵的定量测量模型,以测量软件项目的开发人员营业额风险。开发人员越均匀地影响项目,风险越小。否则,核心开发人员营业额将对项目产生巨大波动。我们不仅分析了模型合理性,而且提供了模型案例。该模型所需的数据可以在公司中获取。该模型是科学合理的,其实际上已被指出,可用作控制营业额风险的基础。

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