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| Similarity Measurement of Software Cost Data |
| LIU Hai-Tao-a, WEI Ru-Xiang-b, JIANG Guo-Ping-a |
| (a. Department of Equipment Economics and Management; b. College of Science, Naval University of Engineering, Wuhan 430033, China) |
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Abstract For the characters of high dimension and mixed attributes of software cost data, traditional similarity measurement becomes no longer applicable. A new similarity measurement was proposed by designing a high dimension FCM clustering algorithm. Firstly, an initialization of ordinal-numerical mappings is given; secondly, new ordinal-numerical mappings are learned from the iterative high dimension FCM clustering algorithm and the clustering effect becomes optimized at the same time; finally, a new similarity measurement of software cost data is proposed with the fuzzy partition matrix. The experimental results show that the similarity measurement improves the precision of software cost estimation.
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Received: 28 December 2011
Published: 30 November 2012
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