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Using Data Mining to Identify Customer Needs in Quality Function Deployment for Software Design

机译:使用数据挖掘来识别软件设计质量函数部署中的客户需求

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Software design is a high value-added technology, so the satisfaction of customer needs is critical issue for software company. The extraction of knowledge from large database has been successfully applied in a number of advanced fields by data mining. However, little research has been done in the quality function deployment of identifying future customer needs, using data mining. This study applied a time series-based data mining cycle, using sales question-narie database, to identify future customer needs for software designers. Certain advantages may be observed when future customer needs are identified, using the data mining cycle. The need trend of each customer was found and satisfied with future customer needs in advance. The results of this study can provide an effective procedure of identifying the significant trends to satisfy customer needs for software company and enhance their competitiveness in the software marketplace.
机译:软件设计是一种高附加值技术,因此客户需求满意是软件公司的关键问题。通过数据挖掘成功应用了大型数据库的知识的提取已成功应用于多个高级字段。但是,使用数据挖掘,在识别未来客户需求的质量函数部署中已经完成了很少的研究。本研究应用了基于时间序列的数据挖掘周期,使用销售问题 - Narie数据库,以确定软件设计人员的未来客户需求。使用数据挖掘周期确定未来客户需求时,可以观察到某些优点。发现每个客户的需要趋势并满足未来的客户提前需要。本研究的结果可以提供有效的程序,可以确定满足客户对软件公司需求的重要趋势,并在软件市场中提高他们的竞争力。

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