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基于WEKA的软件维护性评价模型的实验研究

Experimental research in evaluation model of software maintainability based on WEKA
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摘要 为了能够对软件维护性进行评价,以类级软件维护性数据集为例进行了软件维护性实验,应用Logiscope对类的维护性做了定性评价;运用Krakatau Professional收集类各个度量的度量值;通过WEKA得到了类级度量关键属性;最后,选取决策树分类方法训练分类模型,并利用训练好的分类模型对测试集进行测试,得到基本满足要求的类级软件维护性评价模型。 In order to evaluate software maintainability,an experiment was made about class dates of software maintainability. Class maintainability was qualitatively evaluated by applying Losiscope.Some class metrics were collected by using Krakatau Professional,metric attributes were analysed through WEKA and the key attributes were obtained.At last,professional class model was trained through decision tree classifier,and the model was tested.
出处 《河北科技大学学报》 CAS 2012年第1期69-73,共5页 Journal of Hebei University of Science and Technology
基金 装备预先研究项目
关键词 软件维护性评价 LOGISCOPE Krakatau PROFESSIONAL WEKA 决策树分类器 evaluation of software maintainability Logiscope Krakatau Professional WEKA decision tree classfier
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  • 1曹付元,梁吉业,钱宇华.基于信息熵的决策表约简[J].计算机应用,2005,25(11):2630-2631. 被引量:6
  • 2杨明.一种基于改进差别矩阵的属性约简增量式更新算法[J].计算机学报,2007,30(5):815-822. 被引量:112
  • 3HU X H,CERCONE N.Learning in relational databases:A rough set approach[J].International Journal of Computational Intelligence,1995,11(2):323-338.
  • 4GUAN J W,BELL D A.Rough computational methods for information systems[J].Artiffcial Intelligences.1998,105(122):77.103.
  • 5ZHAO S Y,ERIC C C,Tsang on fuzzy approximation operators in attribute reduction with fuzzy rough sets[J].Information Science,2008,178(16):3 163-3 176.
  • 6SKOWRON A,RAUSZER C,SLOWINSKI R.Intelligent Decision Support Handbook of Applications and Advances of the Rough Sets Theory[M].Dordrecht:Kluwer Academic Publishers,1992.
  • 7WANG Jue,WANG Ju.Reduction algorithm based on discernibility matrix the orded attributes metbod[J].Journal of Computer Science & Technology,2001,16(16):489-504.
  • 8QUINLAN J R.Induction of decision trees[J].Machine Learning,1986,1(1):81-106.
  • 9QUINLAN J R.Programs for Machine Learning[M].San Mateo:Morgan Kaufmann Publish,1993.
  • 10BREIMAN L,FRIEDMAN J,OLSHEN R,et al.Classification and Regression Trees[M].New York:Champman & Hall,1984.

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