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Record W4230201082 · doi:10.1109/date.2003.1253651

Specification of non-functional intellectual property components

2003· article· en· W4230201082 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

Venue2003 Design, Automation and Test in Europe Conference and Exhibition · 2003
Typearticle
Languageen
FieldComputer Science
TopicEmbedded Systems Design Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceProgramming languageParameterized complexityFunctional specificationSimple (philosophy)Semantics (computer science)Specification languageGrammarProperty (philosophy)SoftwareSoftware development

Abstract

fetched live from OpenAlex

In its most general sense, intellectual property components (IPs) refer to any design artifacts that are reusable. While the specification of the functional IPs, such as behavioral and RTL specifications have been widely investigated, the specifications of others, such as timing, constraints, layouts and architectures are largely ad hoc. This leads to different standard or proprietary file/database formats with interoperatability problems, which eventually hinder the distribution and integration of IPs. In this paper, we address the difficult problem of integrating semantically diverse non-functional IPs by the use of a new, extensible language called Babel. Despite its simple 1-page grammar, Babel is frontend for a powerful IP-based design infrastructure. We demonstrate the effectiveness of our approach by two case studies, one for the creation of parameterized memory IPs and one for the creation of processor IPs.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.948
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.062
GPT teacher head0.244
Teacher spread0.182 · 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