Use, disuse, and misuse of automated refactorings
Abstract
Though refactoring tools have been available for more than a decade, research has shown that programmers underutilize such tools. However, little is known about why programmers do not take advantage of these tools. We have conducted a field study on programmers in their natural settings working on their code. As a result, we collected a set of interaction data from about 1268 hours of programming using our minimally intrusive data collectors. Our quantitative data show that programmers prefer lightweight methods of invoking refactorings, usually perform small changes using the refactoring tool, proceed with an automated refactoring even when it may change the behavior of the program, and rarely preview the automated refactorings. We also interviewed nine of our participants to provide deeper insight about the patterns that we observed in the behavioral data. We found that programmers use predictable automated refactorings even if they have rare bugs or change the behavior of the program. This paper reports some of the factors that affect the use of automated refactorings such as invocation method, awareness, naming, trust, and predictability and the major mismatches between programmers' expectations and automated refactorings. The results of this work contribute to producing more effective tools for refactoring complex software.
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Prior studies reported that software architects and developers primarily rely on manual efforts for large-scale refactoring activities, with minor support from disjoint tools.
“Prior studies also reported that software architects and developers primarily rely on manual efforts for large-scale refactoring activities, with minor support from disjoint tools [37, 71, 104].”
From Software Architecture in Practice: Challenges and Opportunities (2023) · cites this paper as [104]
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- Authors
- Vakilian, M., Chen, N., Negara, S., Rajkumar, B. A., Bailey, B. P., & Johnson, R. E.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Venue
- 2012 34th International Conference on Software Engineering (ICSE)
- Publisher
- IEEE
- Published
- 2012-06
- Pages
- 233-243
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W3151395068
- Cited by
- 106
- References
- 32
- Citations by year
- 2025: 2 · 2024: 5 · 2023: 10 · 2022: 8 · 2021: 6 · 2020: 15 · 2019: 7 · 2018: 8 · 2017: 12 · 2016: 5 · 2015: 9 · 2014: 5 · 2013: 10 · 2012: 4
- FWCI
- 7.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, programming, and type systems
- Keywords
- automated refactoring, refactoring tools, programmer behavior, tool misuse, software maintenance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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