A quantitative approach for assessing the priorities of software quality requirements
Journal of Systems and Software - Special issue on software engineering and knowledge engineering
Data preparation for data mining
Data preparation for data mining
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Knowledge discovery techniques for predicting country investment risk
Computers and Industrial Engineering
Mining Customer Value: From Association Rules to Direct Marketing
Data Mining and Knowledge Discovery
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Software design is a high value-added business, so the sequence decision of design requirements is a critical issue for the satisfaction of customer needs for improving marketing quality. On the other hand, data mining has been successfully applied in many fields. However, little research has been done in the quality function development of identifying the future sequence decision of design requirements, using data mining and grey theory. This study applied a time series-based data mining cycle and grey relational analysis, using sales questionnarie database, to identify the future sequence decision of design requirements for software designers. Certain advantages may be observed when the future sequence decision of design requirements was identified, using the data mining cycle and grey relational analysis. The future design requirement of each customer was found and satisfied in advance. The results of this study can provide an effective procedure of identifying the future design requirements to satisfy customer needs and enhance the marketing quality and competitiveness of software company in the marketplace.