Using data mining to identify customer needs in quality function deployment for software design

Authors:
Chih-Hung Hsu;Shih-Yuan Wang;Liang-Tzung Lin
Affiliations:
Department of Industrial Engineering and Management, Hsiuping Institute of Technology, Taichung, Taiwan, R.O.C.;Department of Industrial Engineering and Management, Hsiuping Institute of Technology, Taichung, Taiwan, R.O.C.;Department of Industrial Engineering and Management, Hsiuping Institute of Technology, Taichung, Taiwan, R.O.C.
Venue:
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Year:
2007

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Abstract

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 questionnarie 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.