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Record W1514570516 · doi:10.1109/sefm.2004.51

Verification of the WAP transaction layer

2004· article· en· W1514570516 on OpenAlexaff
Yu-Tong He, Ryszard Janicki

Bibliographic record

VenueSoftware Engineering and Formal Methods · 2004
Typearticle
Languageen
FieldComputer Science
TopicFormal Methods in Verification
Canadian institutionsMcMaster University
Fundersnot available
KeywordsComputer scienceProtocol (science)Model checkingWireless Application ProtocolDatabase transactionDeadlockLayer (electronics)Distributed transactionDistributed computingComputer networkSet (abstract data type)Transaction processingApplication layerWirelessDatabaseOperating systemProgramming languageWireless networkSoftware

Abstract

fetched live from OpenAlex

This paper presents a formal approach of formalizing and verifying the Transaction Layer Protocol design in the approved Wireless Application Protocol architecture (WAP Version 2.0). By using the model checker SPIN, we uncover defects in the protocol, which can lead to deadlock and unfaithful refinement of the service definition. A set of desired properties is then verified for the corrected protocol model.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.000
Science and technology studies0.0010.005
Scholarly communication0.0040.005
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.289
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations4
Published2004
Admission routes1
Has abstractyes

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