Validation of Remote Object Invocation and Object Migration in CORBA GIOP using Promela/Spin
Bibliographic record
Abstract
The General Inter-Orb Protocol (GIOP) is a key component of the OMG's Common Object Request Broker Architecture (CORBA) specification. GIOP specifies a standard protocol that enables interoperability between ORBs from different vendors. This paper presents the formal modeling and validation of the GIOP protocol using the Promela/Spin package. We discuss a Promela model of a GIOP system which includes remote object invocation and server object migration. We elicit high-level properties based on the informal GIOP specification and verify whether these hold of the GIOP model using the Spin model checker. The high-level requirements that we have elicited were confirmed during the validation. However, in the course of the validation two potential problems related to CancelRequest messages and server migration were discovered, and one known deadlock situation of the underlying transport protocol was confirmed. On leave from the University of Waterloo, Department of Electrical and Computer ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".