DOI

In this paper, we are approaching the problem of automatic refactoring recommendation for object-oriented systems. An approach based on clustering ensembles is proposed, several heuristics to existing algorithms and to filtering and combining their results are discussed. Experimental validation of the proposed approach on an open source project is presented. The obtained preliminary results illustrate that the introduced approach could be successfully used to improve existing integrated development environments, providing developers with one more tool to reduce the complexity of their projects. The paper concludes with a discussion on the applicability of such automatic refactoring recommendation approaches to real-world software developed using common object-oriented techniques.

Original languageEnglish
Title of host publicationIWoR 2018 - Proceedings of the 2nd International Workshop on Refactoring, co-located with ASE 2018
EditorsAli Ouni, Mel O. Cinneide, Marouane Kessentini
PublisherAssociation for Computing Machinery
Pages42-45
Number of pages4
ISBN (Electronic)9781450359740
DOIs
StatePublished - 4 Sep 2018
Event2nd International Workshop on Refactoring, IWoR 2018, co-located with the 33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018 - Montpellier, France
Duration: 4 Sep 2018 → …

Publication series

NameIWoR 2018 - Proceedings of the 2nd International Workshop on Refactoring, co-located with ASE 2018

Conference

Conference2nd International Workshop on Refactoring, IWoR 2018, co-located with the 33rd IEEE/ACM International Conference on Automated Software Engineering, ASE 2018
Country/TerritoryFrance
CityMontpellier
Period4/09/18 → …

    Research areas

  • Automatic refactoring recommendation, Clustering ensembles, Object-oriented architecture

    Scopus subject areas

  • Computational Theory and Mathematics
  • Software

ID: 73689021