Formal Specification and Probabilistic Verification of SysML Activity Diagrams
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
Model-driven engineering refers to a range of engineering approaches that uses models throughout systems and software development life cycle. Towards sustaining the success in practice of model-driven engineering, we present a probabilistic verification framework supporting the analysis of SysML activity diagrams against a set of quantitative and qualitative requirements. To this end, we propose an algorithm that maps SysML activity diagrams into probabilistic models, specifically Markov decision processes, expressed in the probabilistic symbolic model-checker (PRISM) language. The generated model can be verified against a set of properties expressed in the probabilistic computation tree logic. In order to automate our approach, we developed a prototype tool that interfaces both a modeling environment and the model-checker PRISM. In order to illustrate the usability and benefit of our approach, we investigate its scalability and present a case study.
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