Bibliographic record
Abstract
With the rapid development of the Internet and distributed systems, communication protocols play a more and more important role. The correctness of the design of these communication protocols becomes crucial especially when critical applications are concerned. Common logical design errors in communication protocols include deadlock states, unspecified receptions, channel overflow, non-executable transitions, etc. Such design errors can be removed via protocol synthesis, or be detected through reachability analysis. The former may introduce more states and transitions than needed and the latter suffers from state space explosion problem. Here we present an improvement on existing technique to transform a protocol design into a deadlock-free one where the number of introduced new states and transitions can be considerably reduced. We also propose a sound reduction technique on a class of protocol designs to significantly reduce their sizes in order to perform reachability analysis.Dept. of Computer Science. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .D83. Source: Masters Abstracts International, Volume: 44-03, page: 1399. Thesis (M.Sc.)--University of Windsor (Canada), 2005.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".