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Record W2124049919 · doi:10.1109/ccece.2005.1557034

An RTPA supporting environment for java code generation

2006· article· en· W2124049919 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
TopicReal-Time Systems Scheduling
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsComputer scienceJavaReal time JavaJava annotationJava concurrencystrictfpOperating systemJava Modeling LanguageProgramming languageGenerics in JavaFormal specificationGarbage collectionEmbedded JavaSoftware engineeringGarbage

Abstract

fetched live from OpenAlex

Real-time software development from formal specifications requires tools and suitable supporting environments to facilitate the development process. The need for such tools becomes more pronounced if the development language is Java; because Java suffers from the unpredictable behavior of the garbage collector. This paper presents a supporting environment for developing real-time software using Java from formal specifications in RTPA. The supporting environment has two major components: a real-time support library that provides extended real-time library functions for the generated Java code, and a real-time kernel (RTOS+) that provides efficient real-time services to the system. By automatically generating Java code from formal specifications, the programmer is relieved of the burden of interpreting the specification before writing code in Java and at the same time is able to take advantage to develop real-time applications in Java under the support of the real-time support environment.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.327

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 communication0.0000.001
Open science0.0000.000
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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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