Run-time conformance checking of mobile and distributed systems using executable models
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.
Bibliographic record
Abstract
This paper describes an approach for conformance testing of mobile and distributed systems. The approach is based on kiltera --- a novel, high-level language supporting the description and execution of models of concurrent, mobile, distributed, and timed computation. In our approach, a kiltera model of the system is constructed from a high-level model which describes system behavior using, e.g., a suitable UML profile. Check points are identified in the implementation under test (IUT) and the kiltera model and both are instrumented appropriately at these check points. During execution, relevant information flows from the IUT to the kiltera model which signals any non-conformance detected. Unique features of our approach include the support for mobility, distribution, time, dynamic creation and deletion of agents, and distributed monitoring. We describe the approach and a prototype implementation using a running example for illustration. Results of first, preliminary experiments are reported.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it