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Record W2165879825 · doi:10.1145/1368088.1368218

Clonetracker

2008· article· en· W2165879825 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsCode refactoringclone (Java method)Computer scienceSoftware maintenanceEclipseSoftware evolutionSoftware engineeringSource codeCode reuseProgramming languageReuseCode (set theory)SoftwareSoftware developmentTrack (disk drive)Operating systemSoftware constructionEngineering

Abstract

fetched live from OpenAlex

Code clones are generally considered to be an obstacle to software maintenance. Research has provided evidence that it may not always be practical, feasible, or cost-effective to eliminate certain clone groups through refactoring. This paper describes CloneTracker, an Eclipse plug-in that provides support for tracking code clones in evolving software. With CloneTracker, developers can specify clone groups they wish to track, and the tool will automatically generate a clone model that is robust to changes to the source code, and can be shared with other collaborators of the project. When future modifications intersect with tracked clones, CloneTracker will notify the developer, provide support to consistently apply changes to a corresponding clone region, and provide support for updating the clone model. CloneTracker complements existing techniques by providing support for reusing knowledge about the location of clones in source code, and support for keeping track of clones when refactoring is not desirable.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.253
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations91
Published2008
Admission routes1
Has abstractyes

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