Publication Type

Journal Article

Version

submittedVersion

Publication Date

12-2019

Abstract

A fine-grained co-change dependency arises when two fine-grained source-code entities, e.g., a method,change frequently together. This kind of dependency is relevant when considering remodularization efforts (e.g., to keep methods that change together in the same class). However, existing approaches forrecommending refactorings that change software decomposition (such as a move method) do not explorethe use of fine-grained co-change dependencies. In this paper we present a novel approach for recommending move method and move field refactorings, which removes co-change dependencies and evolutionary smells, a particular type of dependency that arise when fine-grained entities that belong to different classes frequently change together. First we evaluate our approach using 49 open-source Java projects,finding 610 evolutionary smells. Our approach automatically computes 56 refactoring recommendationsthat remove these evolutionary smells, without introducing new static dependencies. We also evaluateour approach by submitting pull-requests with the recommendations of our technique, in the contextof one large and two medium size proprietary Java systems. Quantitative results show that our approachoutperforms existing approaches for recommending refactorings when dealing with co-change dependencies. Qualitative results show that our approach is promising, not only for recommending refactorings butalso to reveal opportunities of design improvements.

Keywords

Remodularization, Software clustering, Design quality, Refactoring, Co-change dependencies

Discipline

Computer Engineering | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Journal of Systems and Software

Volume

158

First Page

1

Last Page

19

ISSN

0164-1212

Identifier

10.1016/j.jss.2019.110420

Publisher

Elsevier

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1016/j.jss.2019.110420

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