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Record W2620742065 · doi:10.1109/icse-c.2017.6

JSDeodorant: Class-Awareness for JavaScript Programs

2017· article· en· W2620742065 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 Testing and Debugging Techniques
Canadian institutionsConcordia University
Fundersnot available
KeywordsNamespaceJavaScriptComputer scienceProgramming languageInheritance (genetic algorithm)CallbackClass (philosophy)Modular designEclipseUnobtrusive JavaScriptSoftware engineeringObject-oriented programmingObject (grammar)Common Object Request Broker ArchitectureWorld Wide WebOperating systemArtificial intelligenceRich Internet application

Abstract

fetched live from OpenAlex

Until the recent updates to JavaScript specifications, adding syntactical support for class and namespace declaration, developers used custom solutions to emulate modular decomposition (e.g., classes and namespaces) and other object-oriented constructs, such as interfaces, and inheritance relationships. However, the lack of standards for several years led to a large variation and diversity of custom solutions for emulating object-oriented constructs, making maintenance and comprehension activities rather difficult in JavaScript projects developed based on the previous language specifications. In this paper, we present JSDEODORANT, an Eclipse plug-in that enables classaware maintenance and comprehension for JavaScript programs. (https://youtu.be/k4U2LwkL6JU).

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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score0.875

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.093
GPT teacher head0.338
Teacher spread0.246 · 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