Paper Title:
Study on the Software Defects Using Positive and Negative Association Rules Based on Multiple Minimum Supports
  Abstract

We analyzed the attributes of software defects, and proposed a method of positive and negative association rules based on multiple minimum supports to research on software defects. The application in the software indicated that this method can discover rules of higher quality, fewer errors and conflicts without suffering from combinatorial explosion and missing some less-supported or recessiveness rules.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
570-576
DOI
10.4028/www.scientific.net/KEM.474-476.570
Citation
Y. G. Shen, J. Shen, "Study on the Software Defects Using Positive and Negative Association Rules Based on Multiple Minimum Supports", Key Engineering Materials, Vols. 474-476, pp. 570-576, 2011
Online since
April 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: He Jiang, Ze Bai, Guo Ling Liu, Xiu Mei Luan
Abstract:Research on negative association rule in multidimensional data mining is few. In this paper, an algorithm MPNAR is put forward to mine...
445
Authors: Nai Li Liu, Lei Ma
Chapter 4: Data Processing and Applied Computational Methods and Algorithms
Abstract:The traditional algorithm of mining association rules, or slowly produces association rules, or produces too many redundant rules, or it is...
3717
Authors: Xu Shan Peng, Ping Cheng, Mo Gei Wang
Chapter 4: Data Processing and Applied Computational Methods and Algorithms
Abstract:the mutual exclusion relationships among data items are reflected by negative association rules, whitch is very important on the...
3435