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Record W2134227513 · doi:10.1109/ccece.2007.355

Formal Verification of System Level Designs: A GSM Vocoder Case Study

2007· article· en· W2134227513 on OpenAlexaff
Ghiath Al Sammane, Otmane Aı̈t Mohamed

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEmbedded Systems Design Techniques
Canadian institutionsConcordia University
Fundersnot available
KeywordsComputer scienceSystemCGSMAbstractionConcurrencyElectronic system-level design and verificationFormal verificationSet (abstract data type)EncoderFormal methodsFormal specificationEmbedded systemProgramming languageComputer network

Abstract

fetched live from OpenAlex

System-level design of embedded systems is essential to enhance designer productivity. Several design methodologies has been emerged using languages such as SystemC or SpecC that addresses the industry's need for a fast time-to-market. The higher abstraction level offered by these new methodologies is a challenge to rigorous, formal verification. This paper describes the formal verification of designs written in SpecC at the specification level. The method is illustrated on a high level description of the GSM Vocoder: a voice encoder decoder based on the European GSM standard. We define a set of properties P that the GSM Vocoder should satisfy. Essentially, P describes the temporal specification of the Vocoder, including properties about: timing, concurrency, states transitions and communication.

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)0.003
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
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 head0.120
GPT teacher head0.330
Teacher spread0.211 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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
Published2007
Admission routes1
Has abstractyes

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