MétaCan
Menu
Back to cohort
Record W2100889455 · doi:10.1109/date.2006.243777

Generating Finite State Machines from System C

2006· article· en· W2100889455 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
TopicEmbedded Systems Design Techniques
Canadian institutionsConcordia University
Fundersnot available
KeywordsSystemCComputer scienceFinite-state machineAbstractionProgramming languageElectronic system-level design and verificationAbstract state machinesState (computer science)GraphEmbedded systemTheoretical computer science

Abstract

fetched live from OpenAlex

SystemC is a system level language proposed to raise the abstraction level for embedded systems design and verification. In this paper, we propose to generate finite state machines (FSM) from SystemC designs using two algorithms originally proposed for the generation of FSM from abstract state machines (ASM). This proposal enables the integration of SystemC with existing tools for test case generation from FSM. Hence, enabling two important applications: (1) using the FSM graph structure to produce test suites allowing functional testing of SystemC designs; and (2) performing conformance testing, where the FSM serves as a precise model of the observable behavior of the system used to validate lower abstraction levels of the design (e.g., register transfer level (RTL))

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 score0.949
Threshold uncertainty score0.676

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 science0.0010.000
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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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

Citations41
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicEmbedded Systems Design TechniquesFrench-language works237,207