Fuzzy network based framework for software maintainability prediction

Xiaowei Wang, Alexander Gegov, Farzad Arabikhan, Yuntao Chen, Qiwei Hu

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Abstract

Software metrics based maintainability prediction is leading to development of new sophisticated techniques to construct prediction models. This paper proposes a new software maintainability prediction framework, which bases on Fuzzy Network, a novel exploratory modeling technique. The proposed framework utilizes both the metric data collected from software system and the subjective appraisals from experts. An application example of the framework is shown. In comparison to the Standard Fuzzy System based models, Fuzzy Network based models improves the transparency more than 71.3% and the accuracy more than 11.0%. It is confirmed that Fuzzy Network based framework is more appropriate for constructing SMP model.
Original languageEnglish
Pages (from-to)841-862
Number of pages22
JournalInternational Journal of Uncertainty, Fuzziness and Knowledge Based Systems
Volume27
Issue number05
DOIs
Publication statusPublished - 31 Oct 2019

Keywords

  • Software maintainability
  • prediction
  • Fuzzy Network
  • metrics
  • transparency

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