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Tracking Code Clones in Evolving Software
Abstract
Code clones are generally considered harmful in software development, and the predominant approach is to try to eliminate them through refactoring. However, recent research has provided evidence that it may not always be practical, feasible, or cost-effective to eliminate certain clone groups. We propose a technique for tracking clones in evolving software. Our technique relies on the concept of abstract clone region descriptors (CRD), which describe clone regions within methods in a robust way that is independent from the exact text of the clone region or its location in a file. We present our definition of CRDs, and describe a complete clone tracking system capable of producing CRDs from the output of a clone detection tool, notify developers of modifications to clone regions, and support the simultaneous editing of clone regions. We report on two experiments and a case study conducted to assess the performance and usefulness of our approach.
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“These two clone-tracking tools consider the possible set of clones, show the length and the number of instances of all code clones, not just nearby ones, to help the developer predict E(C w ) of handing any or all of these clones.”
From Foraging and navigations, fundamentally: developers' predictions of value and cost (2016) · cites this paper as [11]
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Metadata
- Authors
- Duala-Ekoko, E., & Robillard, M. P.
- Affiliations
- McGill University (CA)
- ORCID
- Robillard, Martin P.
- Venue
- 29th International Conference on Software Engineering (ICSE'07)
- Publisher
- IEEE
- Published
- 2007-05
- Pages
- 158-167
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W2145544369
- Cited by
- 222
- References
- 27
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 6 · 2022: 3 · 2021: 9 · 2020: 9 · 2019: 12 · 2018: 10 · 2017: 6 · 2016: 14 · 2015: 16 · 2014: 13 · 2013: 18 · 2012: 14
- FWCI
- 16.47
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (publishedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Software › Advanced Software Engineering Methodologies
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Keywords
- code clones, clone detection, evolving software, software maintenance, refactoring
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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