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Compatibility of Software Components - Modeling and Verification

2006· article· en· W2129171031 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicPetri Nets in System Modeling
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceComponent-based software engineeringComponent (thermodynamics)Petri netReachabilityDeadlockSoftware developmentDistributed computingCompatibility (geochemistry)SoftwareSoftware constructionSoftware systemSoftware engineeringSoftware frameworkSoftware verificationProgramming languageTheoretical computer scienceEngineering

Abstract

fetched live from OpenAlex

Component-based software engineering (CBSE) has been emerging as a promising approach to the development of large-scale software architectures in which software components with well-defined interfaces can be quickly assembled into complex software systems. However, assembled components must be compatible in the sense that any sequence of operations requested by one of the interacting components must be provided by the other component(s). Component incompatibility may result in subtle software failures which are difficult to detect and correct. A formal model of component interaction is proposed by representing component behaviors by labeled Petri nets. These net models are designed in such a way that component incompatibility is manifested by deadlocks in the net model of interacting components. Reachability-based as well as structural methods of deadlock detection are discussed. A simple example illustrating the proposed approach is provided

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.379
Threshold uncertainty score0.243

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 science0.0000.000
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 head0.037
GPT teacher head0.247
Teacher spread0.210 · 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

Citations23
Published2006
Admission routes2
Has abstractyes

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