Testing of communicating systems : tools and techniques : IFIP TC6/WG6.1 13th International Conference on Testing of Communicating Systems (TestCom 2000), August 29-September 1, 2000, Ottawa, Canada
Bibliographic record
Abstract
Preface. Committee Members and Reviewers. Part I: Test Suite Coverage and Verification. 1. Verification of Test Suites C. Jard, et al. 2. Structural Coverage for LOTOS - a Probe Insertion Technique D. Amyot, L. Logrippo. 3.Fault Detection Power of a Widely Used Test Suite for a System of Communication FSMs A. Cavalli, et al. Part II: Testability and Test Feasibility. 4. Determination of Teat Configurations for Pair-Wise Interaction Coverage A.W. Williams. 5. Incremental Testing at System Reference Points I. Scheiferdecker, et al. 6. Generation of Feasible Test Sequences for EFSM Models A.Y. Duale, M. Umit Uyar. Part III: Interoperability Testing of Internet Protocols. 7. Experiments on IPv6 Testing T. Csondes, et al. 8. Interoperability Test Suite Generation for the TCP Data Part Using Experimental Design Techniques J. Ryu, et al. Interoperability Testing System of TCP/IP Based Communications Systems in Operational Environment T. Kato. PartIV: TTCN Evolution and Application. On the Design of the New Testing Language TTCN-3 J. Grabowski, et al. 11.HTTP Performance Evaluation with TTCN R. Gecse, et al. 12. Conformance Testing of CORBA Services Using TTCN A. Mednonogov, et al. Part V: Test Automation and Industrial Testing Experience. 13. Formal Test Automation: the Conference Protocol with PHACT l. Heerink, et al. 14. Formal Test Automation: the Conference Protocol with TGV/TORX L. Du Bousquet, et al.15. Functional Testing GPRS Support Nodes using TTCN E. Horvath, A. Manthey. 16. The Test Sub Group (TSG): A Cooperative Approach to Improve the Release Quality before Type Acceptance G. Maggiore, et al. Part VI: Real-Time Testing. 17. Verification and Testing of Concurrent Systems with Action Races A. Petrenko, A. Ulrich. 18. An Approach for Testing Real Time Protocol Entities A. Khoumsi, et al. 19. Test Generation in the Presence of Conflicting Timers M.A. Fecko, et al. Author Index.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.027 | 0.015 |
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".