An Automated Approach to Extracting Local Variables

Xiaye Chi, Hui Liu*, Guangjie Li, Weixiao Wang, Yunni Xia, Yanjie Jiang, Yuxia Zhang, Weixing Ji

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Extract local variable is a well-known and widely used refactoring. It is frequently employed to replace one or more occurrences of a complex expression with simple accesses to a newly added variable. Although most IDEs provide tool support for extract local variables, such tools without deep analysis of the refactorings may result in semantic errors. To this end, in this paper, we propose a novel and more reliable approach, called ValExtractor, to conduct extract variable refactorings automatically. The major challenge of automated extract local variable refactorings is how to efficiently and accurately identify the side effect of the extracted expressions and the potential interaction between the extracted expressions and their contexts without time-consuming dynamic execution of the involved programs. To resolve this challenge, ValExtractor leverages a lightweight static source code analysis to validate the side effect of the selected expression, and to identify which occurrences of the selected expression could be extracted together without changing the semantics of the program or introducing potential new exceptions. Our evaluation results on open-source Java applications suggest that Eclipse and IntelliJ IDEA, the state-of-the-practice refactoring engines, resulted in a large number of faulty extract variable refactorings whereas ValExtractor successfully avoided all such errors. The proposed approach has been merged into (and distributed with) Eclipse to improve the safety of extract local variable refactoring.

Original languageEnglish
Title of host publicationESEC/FSE 2023 - Proceedings of the 31st ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering
EditorsSatish Chandra, Kelly Blincoe, Paolo Tonella
PublisherAssociation for Computing Machinery, Inc
Pages313-325
Number of pages13
ISBN (Electronic)9798400703270
DOIs
Publication statusPublished - 30 Nov 2023
Event31st ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2023 - San Francisco, United States
Duration: 3 Dec 20239 Dec 2023

Publication series

NameESEC/FSE 2023 - Proceedings of the 31st ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Conference

Conference31st ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2023
Country/TerritoryUnited States
CitySan Francisco
Period3/12/239/12/23

Keywords

  • Bugs
  • Extract Local Variable
  • Reliable
  • Software Refactoring

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