@inproceedings{95a889c60e214e38930375263e7e4d9f,
title = "IFSDA: An intuitionistic fuzzy set-based data aggregation approach for software maintainability evaluation",
abstract = "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.",
keywords = "Data Aggregation, Heterogeneous Data, Intuitionistic Fuzzy Set, Software Maintainability Evaluation",
author = "Yan Nan and Hengshan Zhang and Qinghua Zheng and Di Wang and Ting Liu and Boqin Feng",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014 ; Conference date: 19-08-2014 Through 21-08-2014",
year = "2014",
month = dec,
day = "9",
doi = "10.1109/FSKD.2014.6980839",
language = "英语",
series = "2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "237--242",
booktitle = "2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014",
}