会议专题

IFSDA: An Intuitionistic Fuzzy Set-based Data Aggregation Approach for Software Maintainability Evaluation

  The software maintainability which is an important part of software quality and trustworthiness has always been a hot topic in software engineering domain.The measurements of the software are multi-source and heterogeneous data,which result in big challenges on data aggregation for software maintainability evaluation.In this paper,an Intuitionistic Fuzzy Set-based Data Aggregation(IFSDA)approach is developed to evaluate the software maintainability.In order to unify the heterogeneous measurements,a Grade Mapping method is proposed to transform them to the membership function and the non-membership function based on Intuitionistic Fuzzy Set(IFS).The Einstein operation-based aggregation algorithm is applied to aggregate the measurements from the lower level to the higher level under the software maintainability index system.In the experiments,880 versions of Linux kernels are collected and evaluated to test the IFSDA approach and the maintainability evolution of the Linux kernels can be studied from the experiment results and analysis.

Heterogeneous Data Intuitionistic Fuzzy Set Data Aggregation Software Maintainability Evaluation

Yan Nan Hengshan Zhang Qinghua Zheng Di Wang Ting Liu Boqin Feng

MOE Key Lab. for Intelligent Networks and Network Security,Department of Computer Science and Technology Xian Jiaotong University,710049,Xian,China

国际会议

The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

厦门

英文

245-250

2014-08-19(万方平台首次上网日期,不代表论文的发表时间)