Title :
Managing customer satisfaction in maintenance of software product family via ID3
Author_Institution :
Coll. of Comput. Sci. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Abstract :
Customer satisfaction becomes more and more important in currently competitive marketplace. Managing the customer satisfaction is important for the software vendors especially those who provide product family. This paper suggests using ID3 to manage customer satisfaction in maintenance of software product family. Factors analysis, attributes choosing, and effort estimation with ID3 are also stated in this paper. The result from the case study showed the great benefit of this method.
Keywords :
DP industry; customer satisfaction; decision trees; learning (artificial intelligence); software maintenance; attribute choice; competitive marketplace; cost estimation; customer satisfaction management; decision tree; factor analysis; machine learning; software product family maintenance; software vendors; Companies; Cost function; Customer satisfaction; Customer service; Humans; Machine learning; Programming; Software maintenance; Software tools; State estimation; AHP; C4.5; Cost estimation; Customer satisfaction; Decision tree; ID3; machine learning;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527241
