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Record W6888506950 · doi:10.21227/ffkx-a427

The Effects of Tool Selection on the Schedulability of SCADE Generated Software: Dataset

2019· dataset· en· W6888506950 on OpenAlexaff

Bibliographic record

VenueIEEE DataPort · 2019
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAerospaceCompilerAutomotive industryCode (set theory)SoftwareSelection (genetic algorithm)Code generationMinificationSoftware tool

Abstract

fetched live from OpenAlex

This dataset uses a newly introduced method for the analysis of the effects on WCET of the tools used in real-time systems. It is the result of a full factorial experiment comparing SCADE code generation tools (SCADE 5 and 6), compilers (Wind River, GCC, Code Warrior), optimization settings, and WCET analysis tools (high water mark measurement, Rapita RVS, Otawa, AbsInt aiT). SCADE generated software is targeted due to its prevalence in hard real-time systems and the ease with which it can be randomly varied. The Freescale MPC5554, commonly used in the automotive and aerospace domains, is used as the target hardware.

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.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.004

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 head0.023
GPT teacher head0.289
Teacher spread0.266 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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